Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must bear all responsibility for behavioral disclosure. It notes that the tool returns a success message or error, but does not describe side effects (e.g., modification of the scene file), prerequisites (e.g., existing animation), constraints (e.g., maximum tracks), or error conditions. The behavioral transparency is minimal and insufficient for safe agent use.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: a one-sentence purpose, category, argument list with brief explanations, and return type. Every sentence is meaningful, and there is no redundancy or filler. The front-loading of the main purpose aids quick comprehension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the five required parameters and no annotations, the description provides basic context (category, args, return). However, it lacks information about prerequisites (e.g., animation must exist), behavior (e.g., track appended to end), limits (e.g., maximum tracks), and error scenarios (e.g., invalid path). An output schema exists but is not detailed, so more context would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the tool description's parameter explanations are crucial. It adds meaningful context beyond the schema, such as track_type values ('value, method, bezier, audio, animation') and track_path format ('Player:position'). However, it does not elaborate on constraints like valid node paths or animation_name existence, which would further improve semantic clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action ('Add a track') and resource ('to an existing animation'). It lists all arguments and return type, and the category 'Animation' groups it effectively. Among siblings like 'animation_create' and 'animation_set_keyframe', the purpose is distinct and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates the tool is for adding a track to an existing animation, which implies its use case. However, it does not provide explicit guidance on when to use this tool versus alternatives, such as when to add a track versus modify or delete. No when-not-to or alternative tool references are included.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It describes the main action but does not disclose behavioral traits such as whether it overwrites existing animations, what happens on failure, or any side effects like modifying the scene file. This is insufficient for a creation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with clear sections (Category, Args, Returns) and is front-loaded with the main purpose. It is efficient but could be slightly more concise by avoiding repetition of information that might be in the schema (though schema has no descriptions).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the tool's purpose and parameters adequately, but it lacks details on the broader context: what happens if the animation name already exists, whether it adds a new node to the scene, or how it interacts with other tools. Given the existence of sibling animation tools, more context on sequencing would be helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage at 0%, the description adds meaningful parameter explanations (e.g., 'Path to the Godot project directory' for project_path). It also notes defaults for duration and loop. This provides clarity beyond the bare schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action: 'Create an Animation resource and add it to a scene.' It uses a specific verb ('Create') and resource ('Animation resource'), and includes a category hint. This distinguishes it from sibling tools like animation_add_track, which modifies an existing animation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool should be used to create new animations, but it does not explicitly state when to use it versus alternatives or provide when-not-to-use guidance. It lacks direct references to sibling tools for comparison.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It states 'Get information' implying read-only and non-destructive, but does not mention any side effects, authorization needs, or cost (e.g., network or filesystem access). For a simple read operation, this is minimally adequate but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured with clear sections (Category, Args, Returns). Every sentence adds value, and there is no redundancy or unnecessary detail. It front-loads the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (read-only, 3 required parameters) and the existence of an output schema (though not shown), the description is nearly complete. It specifies the return type (JSON string) and mentions error handling. Missing details about the returned structure are likely covered by the output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, but the description lists each parameter with a meaningful explanation (e.g., 'Path to the Godot project directory' for project_path). This adds significant value beyond the schema properties, effectively compensating for the schema's lack of descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the verb 'Get' and the resource 'information about an animation'. It distinguishes from siblings like animation_list (list animations) and animation_create (create animation) by focusing on retrieving details of a single named animation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. It does not mention that to list all animations one should use animation_list, nor does it provide conditions for use (e.g., 'use when you need details about a specific animation'). The agent must infer from description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. The description discloses it returns a JSON string with animations or error, which is minimal behavioral information. It does not mention side effects or performance implications, but as a read-only list, this is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise description with front-loaded purpose, clear sections for category, args, and returns. Every sentence is useful and no extraneous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (two parameters, no output schema required), the description fully covers functionality, inputs, and outputs. No gaps for an agent to fail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides parameter meanings ('Path to the Godot project directory', 'Path to the scene file relative to project') beyond the schema's type-only definitions, adding significant value despite the schema's low coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'List all animations in a scene', which is a specific verb and resource. It distinguishes itself from sibling tools like animation_create or animation_get_info, which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. It does not mention prerequisites or scenarios where other tools (e.g., animation_get_info) might be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Minimal disclosure beyond the action. Does not describe side effects (e.g., replacing existing keyframes), failure modes, or required state. With no annotations, the description should provide more behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is structured with a purpose statement and an Args list. It is reasonably concise, though the 'Category: Animation' line is extraneous. Overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers basic purpose and parameter meanings. Lacks preconditions (e.g., animation must exist) and behavioral details. Given the tool's complexity (6 required params) and presence of an output schema, it is adequate but not thorough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Since input schema has 0% description coverage, the description fully compensates by detailing each parameter (e.g., 'project_path: Path to the Godot project directory'). Provides clear semantics beyond the schema's titles and types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Set a keyframe in an animation track' with specific verb (Set) and resource (keyframe in animation track). Distinguishes from sibling tools like animation_add_track and animation_create.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. Does not mention prerequisites, such as the need for an existing animation or scene.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions the action is 'add' (a write operation) but does not disclose side effects, reversibility, or permission needs. The return type is mentioned as 'success message or error' but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with Args and Returns, and front-loads the purpose. However, it repeats parameter information that is also in the schema, making it slightly longer than necessary. Still clear and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description covers the core functionality but lacks details on error handling, prerequisites (e.g., open scene), and behavior when parent node doesn't exist. It is adequate for a simple operation but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds value for 'player_type' by listing possible values and for 'autoplay' by explaining its boolean meaning. Other parameters like project_path, scene_path are not elaborated beyond their names, so overall adds moderate semantic value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool adds an audio stream player node to a scene, with specific verb and resource. However, it does not explicitly differentiate from sibling tools like audio_configure_bus or audio_set_stream, though the purpose is distinct enough.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or context. It only states what it does, leaving the AI agent without clear usage boundaries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description must disclose behavioral traits, but it only lists parameters and return type. It does not mention side effects, reversibility, permissions, or whether the bus must already exist, leaving the agent with limited behavioral understanding.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear header, argument list, and return info. It is concise, though the 'Category: Audio' line is somewhat redundant but does not detract significantly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers basic usage and parameter explanations, but lacks contextual details such as whether the bus must already exist, the effect of multiple calls, or error scenarios. The presence of an output schema partially compensates for return format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides meaningful explanations for parameters, including the volume range (-80 to 24) and the effect of solo, which are absent from the schema. This compensates for the 0% schema description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Configure' and the resource 'audio bus', and it is distinct from sibling audio tools like 'audio_add_stream_player' which deal with stream players.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, nor are there any prerequisites or contextual notes. The description only explains what the tool does, not when it should be used.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description carries full burden. It lacks details on what happens if the player doesn't exist or file is missing, and does not disclose side effects or state changes beyond setting the stream.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear title, category, parameter list, and return value. It is concise with no redundant information, though it could be slightly shorter without losing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema (not shown), the return value description is adequate. All parameters are explained, but missing context like file format support and prerequisite that the player node must exist. The description is moderately complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema coverage is 0%, meaning no param descriptions in schema. The description provides detailed explanations for each parameter, including constraints (volume range, pitch range), adding significant meaning beyond the schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool sets an audio stream for an audio player with a specific verb and resource. It is distinct from sibling tools like audio_add_stream_player which adds a new player node.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. There is no mention of prerequisites or exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description lacks disclosure of behavioral traits such as whether it overwrites existing autoloads, validates paths, or requires specific permissions. The return value is vague ('Success message or error description').

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concisely structured with a clear heading, category, args, and returns. Every sentence serves a purpose, with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the description covers basic functionality and parameter roles, it lacks context on conflict handling (e.g., if autoload already exists) and does not reference sibling tools. The output schema exists but is not detailed in the description, though the return is mentioned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, but the 'Args:' section provides meaningful semantics for each parameter, explaining 'project_path' as the project directory, 'name' as the global access name, and 'script_path' as relative path.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Add' and the resource 'autoload singleton', distinguishing it from siblings like 'autoload_list' and 'autoload_remove'. The category 'Autoload' further groups it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through the category but does not explicitly guide when to use this tool versus alternatives like 'autoload_remove' or 'autoload_list', nor does it state prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It states the return type (JSON string with list or error), but does not disclose read-only nature, required permissions, or side effects. Basic info is present.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Very concise: one sentence for purpose, one line for category, then clear Args/Returns. No unnecessary words, front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, list operation), the description covers the essential: what it does, input, and output. An output schema exists (not shown) but the description mentions return type. Lacks details on error handling or edge cases, but adequate for a simple tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds meaning by explaining 'project_path: Path to the Godot project directory'. This compensates for the schema's lack of description, providing necessary context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'List all autoload singletons in the project' with a specific verb and resource. It distinguishes from sibling tools like autoload_add and autoload_remove which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. No mention of prerequisites, when not to use, or comparison to other listing tools like script_list or resource_list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states the operation and return type, but does not disclose side effects like irreversibility or permissions needed. Adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and well-structured with a docstring format including Args and Returns. It is efficient and front-loaded with the core action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple removal tool with 2 parameters and an output schema, the description covers the essential information. It includes return details and is complete enough for a straightforward operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds brief parameter descriptions: 'Path to the Godot project directory' and 'Name of the autoload to remove'. This adds some meaning beyond the schema's titles, but could be more detailed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Remove an autoload singleton from the project' with a specific verb and resource. It distinguishes itself from siblings like autoload_add and autoload_list by implying a removal operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for removing autoloads but provides no guidance on when not to use or alternatives. Siblings exist but are not referenced.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It describes the inputs and outputs (success/error) but does not disclose side effects (e.g., making the camera current might affect the scene's active camera) or error conditions (e.g., invalid paths). The behavioral traits are partially covered but not exhaustively.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured: a one-line summary, category, bulleted arguments with clear descriptions, and a returns line. It is front-loaded with the purpose and uses no unnecessary words, making it efficient for an agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers all 6 parameters, includes return value behavior, and is sufficient for a simple creation tool. However, it omits mention of constraints like path existence or project loading state, which could affect success. With no annotations, it is reasonably complete but not exhaustive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description provides all parameter meaning beyond the schema's titles. It clarifies the expected value types (e.g., 'Camera2D or Camera3D' for camera_type) and defaults (make_current defaults to True). This adds significant value over the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Add a camera node to a scene.' It includes the category 'Camera' and lists specific parameters that distinguish it from sibling tools like node_add or camera_set_properties. The verb 'Add' and resource 'camera node' are precise and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives like node_add or other camera-related tools. It implies usage when adding a camera to a scene but lacks guidance on prerequisites or exclusions (e.g., requiring an existing scene). No comparison with sibling tools is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. Description indicates read-only operation ('get information') and mentions returning JSON or error, but no disclosure of side effects, prerequisites, or performance.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is structured with sections (Category, Args, Returns) but is relatively verbose (8 lines). Could be more concise while retaining clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool is simple with 3 required parameters and an output schema exists. Description covers purpose, parameters, and return type adequately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but the description includes an 'Args' section explaining each parameter (project_path, scene_path, camera_path), adding meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Get information about a camera' with a specific verb and resource. It is distinguishable from sibling tools like camera_add or camera_set_properties.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. It is implied from the category and tool name, but lacks exclusions or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the full behavioral burden. It only states the basic action, omitting side effects (e.g., effect on previous active camera), error conditions, or required state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is short but includes extraneous 'Category: Camera' line. Main purpose is front-loaded. Could be more concise without losing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite an output schema being present, the return description is vague ('Success message or error description'). Lacks detail on validation, error states, or side effects for a state-modifying tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description lists parameter names but adds no meaning beyond the schema's own titles, failing to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Set a camera as the current/active camera', clearly identifying the resource and action. It distinguishes itself from sibling tools like camera_add and camera_set_properties.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. Does not mention prerequisites or context, leaving the AI agent without decision support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It mentions type-specific parameters (Camera2D vs Camera3D) but does not disclose potential side effects, error behavior, or whether changes are reversible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with Args and Returns sections, though the 'Category: Camera' line is redundant given the tool name. Overall efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (8 parameters, 3 required) and lack of annotations, the description covers all parameters and return type. It is complete enough for an agent to understand the tool's function.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description fully explains each parameter's meaning, type constraints (JSON arrays, numeric defaults), and camera type applicability, adding significant value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Set properties for a camera,' using a specific verb and resource. It distinguishes from sibling tools like camera_add, camera_get_info, and camera_set_current by focusing on property modification.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. It is implied that it is used after a camera node exists, but no prerequisites or when-not-to-use conditions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full responsibility. It states the tool 'Adds' a node and returns success/error, but does not disclose side effects, prerequisites (e.g., scene must be open), or behavior if the layer name already exists. The description lacks sufficient behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences plus an argument list. It is well-structured with 'Args:' and 'Returns:' sections, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that an output schema exists (per context signals), the description need not detail return values, but it mentions 'Success message or error description.' It covers the basic operation but omits edge cases or error conditions. For a simple creation tool, it is minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description lists all 5 parameters with brief explanations (e.g., 'layer_order: Layer rendering order (higher values render on top, default: 0)'). This adds meaning beyond the schema's titles and types, compensating for the lack of parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Add a CanvasLayer node to organize UI elements by depth,' which is a specific verb-resource pair. It includes the category CanvasLayer and differentiates from siblings like canvas_layer_configure (modify) and canvas_layer_set_order (set order) by implying creation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for creation via 'Add,' but it does not explicitly state when to use this tool versus alternatives like canvas_layer_configure or canvas_layer_set_order. No exclusions or context for selecting this tool are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must convey behavioral traits. It does not disclose whether the tool modifies existing configurations, what happens if the layer does not exist, or any side effects (e.g., visual changes). The 'Returns' line is minimal. This leaves significant gaps for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a structured docstring with Args and Returns sections. It is front-loaded with the purpose and efficiently lists parameters. No extraneous sentences. However, it could be slightly more concise by grouping related parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters, 0% schema description, and no annotations, the description provides the basic intent and parameter meanings but lacks deeper context like prerequisites, error scenarios, or return format beyond a string. It is adequate for a simple configuration tool but not rich enough for complex decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning beyond the schema by explaining each parameter's meaning and format (e.g., 'Offset as JSON array [x, y]', 'Rotation in radians'). However, it does not describe default behavior when null, valid ranges, or interacting defaults. Since schema coverage is 0%, the description offers some improvement but is not comprehensive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description specifies the verb 'Configure' and resource 'CanvasLayer properties', clearly distinguishing from sibling tools like canvas_layer_add (add layer) and canvas_layer_set_order (set order). The function is well-scoped to updating configuration parameters.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as canvas_layer_add or canvas_layer_set_order. It lacks preconditions, context, or exclusions, leaving the agent to infer usage from the description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states the basic action and return type. It lacks details on side effects, permissions, reversibility, or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the core action. The 'Category: CanvasLayer' line is slightly redundant but does not significantly bloat the text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with four parameters and an output schema, the description covers purpose and parameters adequately but lacks details on value ranges, edge cases, and error handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description compensates by listing each parameter with a brief explanatory sentence, adding context beyond the schema titles. However, the descriptions are minimal and do not provide constraints or examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the verb 'set' and the resource 'rendering order of a CanvasLayer', making it distinct from sibling tools like canvas_layer_add and canvas_layer_configure.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as canvas_layer_configure, nor are there any exclusion criteria or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose behavioral details beyond the return format. It fails to mention side effects (e.g., whether it overwrites existing shapes) or prerequisites (e.g., node must be a CollisionObject).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with clear headings and bullet-style arguments, making it easy to scan. It is reasonably concise, though the 'Args' and 'Returns' sections could be more streamlined.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (5 parameters, 4 required, no enums, output schema exists), the description covers the parameters and return format adequately. However, it omits prerequisites (e.g., node must exist) and does not clarify if the shape is appended or replaces existing ones.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds significant meaning to each parameter: shape_type includes examples like 'RectangleShape2D', and shape_properties explains the JSON format with a concrete example. This goes well beyond the schema's minimal type definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a collision shape to a CollisionObject2D/3D node,' specifying the action and target node type. This distinguishes it from sibling tools like collision_set_layers and collision_set_shape_properties, which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as when to use collision_set_shape_properties or other collision-related tools. It lacks any 'when to use' or 'when not to use' information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'configure' (mutation) but does not specify whether this overwrites existing layers/masks, if the node must exist, or any side effects. It lacks details on required permissions or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a main sentence, a category label, a list of parameters, and a returns line. It is concise and front-loaded. The only minor issue is the inclusion of 'Category: Collision' which, while useful, adds some redundancy. Overall, it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that modifies two optional parameters on a node, the description covers the basics. However, it omits what happens when parameters are null (likely not updated), whether the node type is validated, and any constraints on the bitmask values. An output schema exists but is not shown, so we assume return structure is minimal.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, but the description compensates by providing one-line explanations for each parameter. It clarifies that collision_layer is 'which layers this object is on' and collision_mask is 'which layers this object can collide with'. However, it does not explain the bitmask format (e.g., integer representing binary flags).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool configures collision layers and masks for a CollisionObject node. The verb 'configure' and the specific resource (collision layers/masks) make the purpose unambiguous. It distinguishes from sibling tools like collision_add_shape which deal with shapes, not layers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus other collision-related tools (e.g., collision_set_shape_properties). It does not mention prerequisites or contexts where this tool is appropriate or inappropriate. Users must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It indicates mutation ('Set properties') but fails to disclose side effects, state changes, error conditions (e.g., invalid shape_index), or requirements for shape existence. The return type is vaguely described as 'success message or error description'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections for category, args, and returns. It front-loads the core function and is free of unnecessary words. The parameter list is clear, though it could be more concise by removing the 'Category' line if redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers purpose, all parameters with examples, and return type. However, it lacks information on error scenarios, expected behavior for edge cases (e.g., out-of-bounds index), and interaction with other collision tools. Given no output schema details, the return description is minimal.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds substantial meaning: it explains each parameter's role (project path, scene path, node path, shape index, properties) with an example for 'properties'. This compensates well for the schema's lack of descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Set properties of a collision shape' with a specific verb and resource. It distinguishes from siblings like 'collision_add_shape' and 'collision_set_layers', though not explicitly. The category 'Collision' provides further context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as 'collision_add_shape'. There is no mention of prerequisites, exclusions, or preferred scenarios. The category and list of siblings imply context but lack explicit direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It states it launches the editor but does not disclose whether it blocks, opens a new window, or requires the project path to be valid. It is adequate but not detailed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise, with one sentence for purpose and a brief category/args format. It earns its place without waste, though a bit more structure (e.g., clear sections) could improve readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, the description should explain what the tool returns. It omits this entirely. It also lacks details on side effects or project state after launch. For a simple tool, the description is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning. It says 'Path to the Godot project directory', which clarifies the parameter is a directory path, but the schema already indicates 'Project Path' and string type. The addition is minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool launches the Godot editor for a specific project, using the verb 'Launch' and resource 'Godot editor'. This distinguishes it from sibling tools that manipulate project internals rather than launching the editor.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like project_run, or on prerequisites such as requiring the project to exist. The description lacks any usage context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description should disclose side effects (e.g., overwriting existing environment) but only states it sets up environment. Does not describe mutability or requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is structured with category, Args, Returns. It is relatively concise but uses docstring style which is acceptable. No superfluous sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters, no annotations, and lack of behavioral context, the description does not sufficiently fill gaps. Missing usage context and detailed return information despite output schema existence.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description explains each parameter's purpose, defaults, and format (e.g., colors as JSON arrays, background_mode options). Adds significant value beyond schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Set up environment and ambient lighting for a 3D scene', which is a clear verb+resource. It distinguishes from siblings like 'light_add' which add light nodes, though it could explicitly mention WorldEnvironment node creation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives like 'light_set_properties' or 'scene_create'. No conditions or exclusions provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only restates the tool's name without detailing side effects, speed, or prerequisites. For a simple getter, minimal disclosure is acceptable, but the description adds no value beyond the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loaded, but the 'Category: Godot' line is unnecessary. Every sentence except maybe the category earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (zero parameters, output schema likely describes return value), the description is completely sufficient. An agent can correctly select and invoke this tool based solely on the provided text.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the schema is empty. The description adds no parameter details, but with 100% schema coverage and no params, baseline is 4. The description adequately conveys no input is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Get the installed Godot version', which is a specific verb+resource pair. It clearly distinguishes from all sibling tools, none of which retrieve version information.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly indicates usage for obtaining the Godot version, with no competing alternatives among siblings. However, it lacks explicit when-to-use or when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavior. It correctly implies a read operation but does not explicitly state that it is non-destructive or safe to use. No side effects or permissions mentioned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact with purpose-first structure. Every sentence adds value: purpose, category, parameter description, return type. No superfluous words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple listing tool, the description covers the single parameter and return format. The presence of an output schema (not shown but indicated) further supports completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only provides title and type for 'project_path'. The description adds a clear explanation: 'Path to the Godot project directory', which fully compensates for the 0% schema description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verb 'List' and resource 'input actions', clearly stating the scope 'in the project's input map'. It distinguishes from sibling 'input_setup_action' which modifies actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The 'Category: Input' provides minimal context but does not exclude other input-related tools or state prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It does not disclose key behavioral aspects: whether existing bindings are overwritten or appended, whether the action is created if nonexistent, or any side effects on the project. The list of supported keys is helpful but insufficient for full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with a clear header line, optional category, and a structured Args section. Each sentence adds value (purpose, category, parameter details). No redundant information is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 3 parameters and an output schema, the description covers input parameters adequately. However, it lacks critical context such as whether the action is created if missing, if bindings append or replace, and any error conditions. For a setup tool, these are important for complete usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by explaining each parameter: project_path, action_name, and keys. It provides examples and lists supported keys and modifiers, adding significant meaning beyond the schema's type and title fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool sets up an input action with key bindings in the project's input map. It uses a specific verb ('Set up') and identifies the resource ('input action with key bindings in the project's input map'). This distinguishes it from siblings like input_list_actions which only list actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool vs alternatives. It does not mention prerequisites, such as whether an action must exist first, or whether the tool creates the action if missing. No references to alternatives or when-not-to-use are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It only states the action and lists parameters without disclosing side effects, prerequisites (e.g., scene must be open), or how the tool modifies the scene file. Minimal behavioral context beyond the action itself.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with Args and Returns sections, and is reasonably concise. The 'Category: Light' line is slightly redundant but harmless. Every sentence serves a purpose, though minor trimming could improve brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters and no output schema details, the description covers basic usage but lacks edge-case handling (e.g., parent node must exist, name uniqueness). The return value is vaguely stated as 'Success message or error description' with no specifics on error conditions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description compensates fully. It provides clear explanations for all 7 parameters, including types, defaults, and a deprecation note for light_type. This adds significant meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a light source to a 3D scene' with a specific verb and resource. It distinguishes from sibling tools like light_set_properties and light_set_shadow by indicating creation vs modification.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for adding new lights but provides no explicit guidance on when to use this tool versus alternatives. No comparison with siblings or conditions are given, only parameter-level notes like the deprecation of PointLight3D.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose behavioral traits such as side effects, error handling (e.g., if light node doesn't exist), or safety guarantees. The simple 'Set properties' implies mutation without elaboration.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with clear sections (Category, Args, Returns) and is reasonably concise. The 'Category' line adds context but could be omitted if redundant. Overall efficient for the parameter count.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 9 parameters with dependencies on light type (e.g., 'range' only for PointLight3D/SpotLight3D), but this is only partially hinted in parameter names. Missing prerequisites (light must already exist) and behavior for invalid inputs. Output schema exists but description doesn't leverage it for completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by explaining each parameter's purpose (e.g., 'energy: Light energy/intensity', 'color: Light color as JSON array [r, g, b]'). However, units and constraints (e.g., valid ranges) are missing, leaving some ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Set properties of a light source' with category 'Light', providing a specific verb-action and resource. It distinguishes from siblings like 'light_add' and 'light_set_shadow' by focusing on property modification.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives (e.g., 'light_set_shadow' for shadow-only changes). No prerequisites or exclusion criteria mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavior, but it lacks details on side effects (e.g., whether it modifies existing light or creates something), what happens if light doesn't exist, persistence, or return value structure beyond 'success message or error description'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is relatively short and front-loaded with the main purpose. Includes a category line and arg list. Could be more concise but no wasted sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 6 parameters and output schema exists, description covers basic purpose and parameter list but lacks behavioral details and return format explanation. Adequate but not fully self-contained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description compensates by listing parameters with brief explanations. However, it omits units, ranges, or value guidance for 'shadow_bias' and 'shadow_blur', and does not clarify the paths format. Adds some meaning but not comprehensive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool configures shadow settings for a light source, using specific verb 'configure' and resource 'shadow settings for a light source'. It distinguishes from sibling tools like 'light_set_properties' which handle general light properties.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like 'light_set_properties' or 'light_add'. No prerequisites, when-not-to-use, or scenarios mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. Description only says it adds an agent and returns success/error. No disclosure of side effects, idempotency, or required scene state. As a creation tool, more behavioral context is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is well structured with Args and Returns sections, and purpose is front-loaded. A bit verbose but no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 7 parameters and no annotations, the description covers basics but lacks detail on constraints (e.g., name uniqueness), behavior on existing nodes, and precise return format. Output schema exists but is only vaguely described.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description provides explanations for all 7 parameters including defaults and allowed values (e.g., agent_type). This adds significant meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a navigation agent to a scene' with specific verb and resource. The category 'Navigation' and context of sibling tools like navigation_add_obstacle and navigation_add_region confirm distinct purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. Does not mention when to choose agent over obstacle/region, nor prerequisites or conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description only states basic behavior without revealing side effects (e.g., scene modification), safety, or error handling. Lacks depth for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with Args and Returns sections. Some redundancy ('Category: Navigation') could be removed, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Missing output schema details despite 'Has output schema: true' indicator. Does not clarify return format or prerequisites. Incomplete for a complex scene-modifying tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description adds detailed explanations for all 6 parameters (e.g., 'Path to the Godot project directory'), providing essential meaning beyond raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a navigation obstacle to a scene', uses specific resource type (NavigationObstacle2D/3D), and distinguishes from sibling tools like navigation_add_agent and navigation_add_region.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. Lacks context such as prerequisites (e.g., scene must be open) or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description is the sole source of behavioral info. It only states the action and lists parameters. There is no mention of side effects, permissions, or whether changes are saved immediately. This is insufficient for a creation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a header, category, and bullet list for arguments. It is concise without unnecessary words. However, the Args section could be more compact by integrating parameter details inline.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basic operation and parameters. An output schema exists, so return values are not needed. However, it omits context like requiring an existing scene or potential errors. For a simple add tool, it is adequate but not thorough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description's Args section adds meaning to all 5 parameters: explains that scene_path is relative to project, parent_node_path indicates the parent, and region_type defaults to NavigationRegion2D. This compensates well for the schema's lack of descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Add a navigation region to a scene' with a specific verb and resource. It distinguishes itself from sibling navigation tools like navigation_add_agent and navigation_add_obstacle by focusing on region addition.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. The description does not mention any preconditions, exclusions, or comparison to other navigation tools. It only describes the basic function.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description alone must convey behavioral traits. It mentions 'Set or bake' but does not disclose side effects (e.g., whether baking modifies the scene file, requires saving, or is destructive). The return value is noted, but deeper behavioral context is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: a one-line purpose, a category, a clear argument list, and a return note. Every sentence contributes value, with no redundancy. The structure is front-loaded and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that the tool has five parameters (three required) and an output schema, the description covers the basics but lacks completeness. It does not mention prerequisites like the existence of a navigation region node, nor does it clarify behavior when both navmesh_path and bake are provided. The return description is adequate but the behavioral gaps reduce completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the input schema has 0% description coverage, the description text provides one-line explanations for each parameter (e.g., 'navmesh_path: Path to a saved NavigationMesh resource (optional)'). This adds sufficient meaning beyond the bare schema titles, though some details (e.g., interaction between bake and navmesh_path) are omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action: 'Set or bake a navigation mesh for a navigation region.' This verb+resource formulation is specific and distinguishes it from sibling tools like navigation_add_region, which adds a region rather than setting its navmesh.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives (e.g., navigation_add_region or navigation_add_agent). The description is straightforward but lacks context about prerequisites or conditions, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided and description does not disclose side effects, error conditions, or prerequisites (e.g., scene must exist). Only states the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded purpose, then category, then parameter list. While the parameter list is detailed, it is still concise and well-structured for the number of parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description does not explain return values. It also omits prerequisites or context like needing a valid scene. Adequate but incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description provides meaningful explanations for each parameter, e.g., 'Path to the Godot project directory', 'Optional properties to set on the node', which adds value beyond the schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb+resource: 'Add a node to an existing scene.' Distinguishes from sibling tools like node_delete, node_duplicate, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives. Sibling tools exist but no mention of when to prefer this one or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It explains the action and the persistent flag, but does not disclose side effects (e.g., duplicate membership, behavior if group doesn't exist) or error conditions beyond 'error description'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with a category header and a clean list of parameters. Every sentence adds value, and the format is easily scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and a simple operation, the description covers all parameters and mentions return values. However, it lacks details on edge cases and error handling, which would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description provides clear explanations for each parameter, including an example for node_path. This adds meaning beyond the schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a node to a group', specifying the verb and resource. Among sibling tools, it is distinct from node_add and other group-related operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool over alternatives, but the tool name and context make it clear it's for adding to groups. No exclusions or when-not-to-use guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only states 'Delete', which is the basic action, but lacks details on permanence, implications on child nodes, or required permissions. This minimal disclosure is insufficient for safe usage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and well-structured with Args and Returns sections. Every sentence adds value without redundancy. It is appropriately sized for a simple deletion tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the presence of many sibling node tools, the description covers the core functionality but lacks details about error handling, return value structure (despite having output schema), or behavior on failure. It is adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description compensates by listing each parameter with a brief explanation and an example for node_path. It adds meaning beyond the schema's type and title, though it could be more explicit about path formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Delete a node from a scene' clearly indicating the action and target. It distinguishes from siblings like node_add, node_rename, and node_reparent, all of which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives. The description does not mention prerequisites, side effects, or exclusions. For example, it doesn't clarify whether deletion is irreversible or if children are also deleted, leaving the agent to infer.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose all behavioral traits. It only states the result ('success message or error description') without details on recursive duplication, side effects, or permission requirements. This is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear purpose statement and separate sections for Args and Returns. It is well-structured and front-loaded, though it could be slightly more efficient by reducing redundancy in the Args section.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a simple duplication tool, but it lacks details on whether children are duplicated, what the output schema contains (though output schema exists), and potential failure modes. It leaves some questions unanswered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds some meaning beyond the schema by explaining the default behavior for new_name (original name + number) and providing an example for node_path. However, other parameters like project_path and scene_path are not elaborated beyond their titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Duplicate a node in a scene' with a specific verb and resource. It is distinct from sibling tools like node_add, node_delete, and node_rename, which have different actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it (to copy a node) but does not provide explicit guidance on when not to use it or alternatives. Siblings like node_add exist for creating new nodes, but no comparison is made.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not explicitly state that this is a read-only operation. However, the verb 'Get' strongly implies it does not modify state. The description could be improved by stating it is non-destructive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: a one-line summary, a category, then an organized list of arguments with explanations, and a returns statement. Every sentence adds value with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (4 parameters, 3 required) and the presence of an output schema (not shown), the description adequately covers inputs and output. It provides sufficient context for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, but the description thoroughly explains each parameter (project_path, scene_path, node_path, include_inherited) with clear context and defaults. This fully compensates for the schema's lack of descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get all properties of a specific node in a scene.' It uses a specific verb 'get' and resource 'properties', clearly distinguishing it from sibling mutation tools like node_set_property or node_delete.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives, but the purpose is clear enough that an agent can infer it is for reading properties, not writing or deleting. The lack of explicit exclusions is a minor gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden for behavioral disclosure. It only states 'Load a sprite' without explaining the underlying operation (e.g., sets the 'texture' property, overwrites existing textures), side effects, or required permissions. This lacks transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence plus a structured list of parameters, each with brief context. No redundant or irrelevant information. The format is clean and front-loads the core action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (4 string params, no nested objects) and the presence of an output schema, the description adequately covers the basic purpose. However, it lacks details on success/failure, error conditions, or node existence requirements, which could be added for completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only titles (0% description coverage), but the description's Args section adds concise explanations for each parameter (e.g., 'Path to the Godot project directory', 'Path to the Sprite2D node'). This significantly improves understanding beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Load a sprite into a Sprite2D node,' specifying the verb (load), resource (sprite texture), and target node type (Sprite2D). This distinguishes it from sibling tools like node_add or node_set_property, which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites, exclusions, or context. For example, it does not indicate that the Sprite2D node must already exist or that this tool is specifically for loading textures rather than setting other properties.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavioral traits. It only says 'Rename a node', which is obvious, and mentions return of success/error, but omits side effects (e.g., impact on references, signals, undo capabilities). For a mutation tool, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: one line for the action, one for category, then a focused list of args. No unnecessary words; every sentence adds value. Front-loaded with purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the description covers basic parameters and returns, it lacks preconditions (e.g., node must exist, scene must be loaded), potential errors, or side effects. For a simple rename tool, this might be acceptable, but given no annotations or output schema details, it feels slightly incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, but the description lists each parameter with clear, explanatory text and an example for node_path. It adds meaning beyond the schema, although some constraints (e.g., new_name format) are not detailed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Rename a node in a scene', clearly identifying the action and resource. It distinguishes from siblings like node_add, node_delete, node_duplicate, node_reparent, and node_set_property, each of which implies different operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives, nor any prerequisites or exclusion criteria. For instance, it does not specify whether the scene must be open or if the node must exist. The description solely states the action without contextual usage advice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits. It states 'Move' implying mutation, but doesn't describe side effects (e.g., preservation of children, transformation changes), error conditions, or required permissions. It only mentions success/error returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear structure: a one-line summary, a category label, parameter list with examples, and a return description. Only essential information is included.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (4 string params) and presence of an output schema, the description adequately covers the inputs and outputs. It lacks only minor details like error handling specifics or undoability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 0%, the description includes a parameter list with example values (e.g., 'root/Player'), which adds practical context beyond the bare schema titles. However, it does not specify constraints like allowed characters or format validation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the action ('Move a node to a new parent') and the resource ('in a scene'), with a clear synonym 'reparent'. This distinguishes it from sibling tools like node_add, node_rename, or node_delete.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't differentiate from node_duplicate or node_add for similar operations, nor does it mention prerequisites like the existence of the target parent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose behavioral traits such as required permissions, side effects (e.g., whether setting certain properties triggers updates), error conditions beyond 'error description', or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: a one-line purpose, a category label, a clear list of arguments with types/examples, and a returns note. Every sentence provides value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers all parameters and the purpose, but lacks usage guidelines and behavioral transparency. Given the complexity (5 required params, no annotations), the description is adequate but not fully complete. Output schema is present, so return values are not required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by explaining each parameter: project_path ('Path to the Godot project directory'), scene_path ('relative to project'), node_path (with examples), property_name (with examples), and property_value (supported types). This adds meaning beyond the schema's type-only definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Set a property value') and the resource ('on a node in a scene'), which is specific and distinguishes it from siblings like node_get_properties or node_add.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., when to use node_set_property vs node_rename or node_reparent). There are no when-not-to-use instructions or context about prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description must carry the burden. It indicates the tool adds a particle system (mutation) but does not disclose side effects like scene file modification, required permissions, or return format details beyond 'success message or error'. Adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with clear sections (Args, Returns) and is concise—no redundant sentences. Every line adds value, and the format is easy to scan for agents.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (7 parameters, sibling tools, no annotations), the description covers parameters but omits prerequisites (e.g., scene must be open), error conditions, or whether the system is added immediately. The output schema likely fills some gaps, but the description could be more complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 0% description coverage, leaving the description to explain parameters. It provides a one-line explanation for each of the 7 parameters, including defaults and types, which adds significant meaning beyond schema titles. Slightly lacks detail on particle_type options but overall effective.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a particle system to a scene' with a specific verb and resource. It includes parameters that define the action, effectively distinguishing from siblings like particle_set_properties or particle_start_emitting by focusing on creation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites, when not to use, or other tools that might be more appropriate (e.g., particle_set_properties for modification). The usage is implied but not clearly directed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Description lacks behavioral details beyond the action. No annotations exist, so the description should disclose side effects (e.g., whether emission restarts, if changes are immediate), but it only says 'Returns: Success message or error description.' This is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Reasonably concise given the number of parameters. Uses a clear Args section with a category header. No superfluous sentences, but some parameter descriptions could be more compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers input parameters well but lacks detailed output description ('Success message or error description' is vague). No behavioral context. Given the tool complexity and lack of annotations, additional context (e.g., that this modifies an existing system) would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so parameter descriptions are critical. Each parameter has a brief, clear description (e.g., 'lifetime: Particle lifetime in seconds'). The direction and gravity parameters mention JSON array format, which adds value beyond the schema's type definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Set properties of a particle system,' using a specific verb and resource. It distinguishes from sibling tools like 'particle_add_system' (add) and 'particle_start_emitting' (start), which have different actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites, order of operations, or scenarios where another tool would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behaviors but only states it starts/stops emission. It does not mention side effects, required scene state, reversibility, or what happens to existing particles. The return value is vague ('Success message or error description').

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise with a clear structure: a one-line summary, category, parameter list, and return information. Every sentence is necessary and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters and no annotations, the description covers parameter purposes but lacks details on return format, error conditions, and whether the tool works at runtime or edit time. It is complete enough for basic use but not robust.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning beyond raw parameter names by specifying each parameter's role (e.g., 'Path to the Godot project directory'). However, the schema already provides titles, so this is reinforcement rather than new insight. Schema coverage is 0%, so description compensates minimally.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Start or stop particle emission.' It uses a specific verb ('start or stop') and resource ('particle emission'), distinguishing it from siblings like particle_add_system which creates a system.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as particle_set_properties or other control tools. It does not mention prerequisites or context for usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description lists parameters with defaults and ranges, and states the return value (success/error). However, it omits important behavioral details such as the tool's side effects (modifying the scene), prerequisites (node must be a RigidBody), or permission requirements. With no annotations, more transparency would be beneficial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-organized with an 'Args' and 'Returns' section, and the core purpose is stated in the first sentence. Although it includes detailed parameter descriptions, the structure is clean and avoids unnecessary fluff, making it efficient for an agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the 9 parameters with explicit defaults and ranges, and the presence of an output schema (though not detailed), the description provides sufficient context for most use cases. It could be improved by mentioning node type constraints or the fact that properties are applied immediately, but overall it is adequately complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, providing only titles and types. The description compensates fully by explaining each parameter's meaning, default values, valid ranges (e.g., friction 0-1), and units (kg for mass). This adds significant value for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Set physics properties') and the resource ('RigidBody2D/3D node'), using a specific verb and resource. This distinguishes it from sibling tools like 'camera_set_properties' or 'particle_set_properties', which target different components.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus alternatives. While the category 'Physics' and the resource type give implicit context, there are no exclusions or comparisons to similar tools, leaving the agent to infer the appropriate use case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description covers key behaviors like debug and export_pack flags, but lacks disclosure of side effects (e.g., file overwriting) or error conditions. It is adequate but not fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise: one sentence for the summary, a category line, and a bulleted list of parameters. No redundant information, and the most important details are front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the tool's purpose and all parameters well. However, it omits context about preconditions (e.g., export preset must exist) and what happens on failure. Given the presence of an output schema, return values are not needed, but error handling context would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds meaningful context for each parameter (e.g., 'Path to the Godot project directory', 'Name of the export preset (as defined in export_presets.cfg)'). This goes beyond schema titles, though it does not explain relationships between parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Export a Godot project using the specified export preset,' providing a specific verb and resource. It distinguishes itself from sibling tools like project_run or project_list by focusing on export functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives (e.g., project_run, project_list). The description does not mention prerequisites, such as the need for a configured export preset, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. The description implies a read-only behavior via the verb 'Get', but does not explicitly state side effects, authentication needs, or whether the output is cleared after retrieval.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences. The 'Category: Project' adds mild structure but is not strictly necessary. No verbose or redundant text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with an output schema, the description provides adequate purpose. However, it lacks workflow context (e.g., when to call relative to project_run) and does not clarify if output is persistent or cleared.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, and schema coverage is 100%. Per guidelines, baseline is 4. The description adds no additional parameter info, but none is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves debug output and errors, with a specific verb ('Get') and resource. It distinguishes itself from siblings like project_get_info by focusing on debug output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., after project runs, for troubleshooting). The description lacks any contextual usage information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.