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

Annotations already indicate destructive behavior (destructiveHint: true). The description adds that it performs automatic format correction, but does not detail what that entails, what gets destroyed, or any authentication requirements. It adds some context but not extensive.

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 single sentence, concise but under-specified. It conveys the core action but could include more detail without being verbose. The structure is fine but does not earn extra points for completeness.

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 still lacks important context like error handling, idempotency, scope of operation, and what 'automatic format correction' implies. It is not complete for a mutation tool with potential destructive effects.

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%, and the description does not explain the parameters (operations, preview, request_id). The agent must rely on parameter names alone, which are somewhat self-explanatory but lack specifics about the structure of operations objects or the effect of preview.

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 it creates or updates Automox policies, with automatic format correction. It distinguishes from read tools and other policy manipulation tools like clone_policy, delete_policy. However, it doesn't specify if it applies to all policies or a subset.

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. There is no mention of prerequisites, when to use preview mode, or when to prefer other policy tools like create_policy or update_policy.

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?

Annotations already indicate destructiveHint=true and idempotentHint=true, so the description adds minimal behavioral context. It does not disclose side effects (e.g., overwriting existing assignments) or prerequisites, but does not contradict annotations.

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?

Two concise sentences with no extraneous information. The description is front-loaded with the core action and 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?

While the output schema exists, the description lacks context on return values, behavior details (e.g., partial failures), and prerequisites. It is minimally complete given the annotations, but gaps remain.

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%, and the description only lists two parameters (saved_search_uuid, policy_ids) without explaining their format, constraints, or the optional request_id. This is insufficient for a 3-parameter tool.

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 purpose: bulk-assign policies to the result set of a saved device search. It specifies the action (assign), resource (saved search result set), and key parameters (UUID and policy IDs), distinguishing it from sibling tools like apply_policy_changes.

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. Sibling tools include apply_policy_changes and other policy-related functions, but the description does not specify contexts 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?

The description extensively discloses behavioral traits beyond the annotations: client-side filtering, pagination, time conversion, permissions (specific scopes required), and edge-case handling (unmappable category results in unfiltered response). No contradiction with annotations (readOnlyHint, etc.).

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 lengthy but dense with information. It front-loads the main purpose and then systematically details parameters and behavioral nuances. While every sentence adds value, some sections (e.g., exact details on unmappable categories) could be condensed for 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?

For a tool with 6 parameters, no output schema, and complex behavior, the description covers nearly all aspects: filtering, pagination, permissions, and response metadata. It lacks a full enumeration of response fields, but it explains key structures like `applied_filters` and `events_before_filter`. Overall highly 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?

With 0% schema description coverage, the description fully compensates by explaining each parameter's purpose, constraints (e.g., date required, category_name prefix matching), defaults, and behavior (cursor pagination, output_format). It 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 the tool's purpose: querying OCSF-formatted audit events with filtering by date and event type. It specifies the source (Automox Audit Service v2). However, it does not explicitly distinguish from sibling tools like 'audit_trail_user_activity' or 'list_events', though the context of OCSF format is unique.

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 detailed guidance on parameter usage, especially the client-side nature of category_name filtering and the behavior when tokens are unmappable. It also notes that human-readable strings are preferred over raw integer UIDs. However, it does not explicitly state when to use this tool versus alternatives (e.g., for non-OCSF audit events).

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?

Annotations indicate destructiveHint=true and readOnlyHint=false. The description adds the 500 device limit and example action format, which are behavioral traits not captured in annotations. However, it does not discuss partial failure handling or rollback behavior.

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 single concise sentence with an example, front-loading the key information. Every part is necessary; no wasted 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 bulk update tool with 3 parameters, destructive annotation, and an output schema (reducing need to describe return values), the description is fairly complete. It explains the purpose, limit, and action format. Minor gaps: no mention of prerequisites or error scenarios.

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 must compensate. It provides an example of the actions parameter (tag apply/remove), adding meaning beyond the raw schema. However, it does not explain the devices parameter (list of IDs) or request_id. The compensation is partial.

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 applies bulk attribute actions to many devices at once, with a limit of 500 devices. It gives an example action format, distinguishing it from single-device updates like update_device. The verb 'apply' and resource 'devices' are specific 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?

No explicit guidance on when to use this tool versus alternatives such as update_device or advanced_device_search. The limit of 500 and action format provide implicit context, but the description does not mention exclusions 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds the detail of returning a per-group boolean status, which is consistent with annotations but adds minimal extra 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 a single sentence with no wasted words, covering the main action, resource, and output efficiently.

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 read tool with an output schema, the description is adequate but lacks parameter explanations. Given the schemaless parameter descriptions, completeness is partially hindered.

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% and the description does not explain parameters. It fails to add meaning about 'group_uuids' or 'org_uuid' beyond what the schema names indicate.

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 'check', the resource 'server groups', and the result 'per-group boolean status'. It distinguishes from sibling tool 'check_window_active' by specifying server groups.

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 checking exclusion windows but offers no explicit when-to-use or alternatives. With many sibling tools, guidance on when not to use would help.

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 adds behavioral detail beyond annotations by explaining the three conditions that make a window active. Annotations already indicate read-only, non-destructive, and idempotent behavior, so the description's additional logic is helpful. No contradictions.

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 extremely concise with only two sentences, no unnecessary words, and it front-loads the purpose clearly. Every sentence delivers value.

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, the description covers the core logic adequately. The presence of an output schema likely details the return format, so the description need not repeat that. However, it does not mention any prerequisites or side effects, but for a read-only check, this is sufficient.

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, meaning the parameters 'window_uuid' and 'org_uuid' are not explained in the schema. The description does not compensate for this; it only explains the return logic. Therefore, the description adds no meaning to the 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 the tool's purpose: 'Check whether a specific maintenance window is currently active.' It uses a specific verb ('Check') and resource ('maintenance window active'), and it distinguishes itself from sibling tools like 'check_group_exclusion_status' by focusing on the window's active status.

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 useful context on when the tool is appropriate by defining the conditions for an active window (status, group, exclusion period). However, it does not explicitly mention when not to use it or suggest alternative tools, so it lacks full 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?

Annotations indicate destructive and non-idempotent, which the description aligns with by noting cloning creates a copy. Adds context about cross-zone mode being a single server-side call and restricted to patch policies.

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?

Two sentences with clear front-loading of purpose. No redundant information; every part 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 complexity (two modes, mutex, patch-only restriction) and presence of an output schema, the description covers essential behavioral aspects. Missing details like error conditions or return format are acceptable due to 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?

With 0% schema description coverage, the description explains purpose of policy_id (implied required), name, server_groups, and target_zone_ids. However, it omits the request_id parameter entirely, leaving it unexplained.

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 uses specific verb 'Clone' and resource 'policy', with two clearly distinguished modes (in-org copy vs cross-zone for patch policies). This differentiates it from sibling policy tools.

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?

Explicitly states when to use each mode and that they are mutually exclusive. Does not discuss when not to use the tool or alternative approaches, but the sibling list contains no other clone operation.

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?

Annotations already indicate destructiveHint=true. The description adds that the tool returns an 'initial status', hinting at asynchronous processing. However, it does not disclose potential side effects, required permissions, or behavior under failure beyond what annotations provide.

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 single sentence, concise and to the point. It front-loads the key action and output. However, it is slightly under-specified, which prevents a perfect score.

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 an object parameter and an output schema, the description provides minimal context. It does not explain what extract_data should contain, potential errors, or prerequisites. The presence of siblings like list_data_extracts and get_data_extract implies a workflow, but the description lacks 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%, and the description does not explain the parameters (extract_data and request_id). Since the description adds no meaning beyond the raw schema, it fails to compensate for the missing schema 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 the action ('Request a new data extract'), the resource ('data extract'), and the purpose ('for bulk reporting'). It also specifies the return value (extract ID and initial status), distinguishing it from siblings like get_data_extract and list_data_extracts.

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. The description implies creation but does not mention when not to use it or suggest sibling tools like get_data_extract for retrieval. Sibling differentiation is only implicit through naming.

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 adds critical behavioral info: 'Returns metadata only — the key secret is never surfaced and cannot be retrieved via MCP.' This goes beyond annotations (destructiveHint=true, etc.) and clarifies a key safety aspect.

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?

Two sentences, no fluff, front-loaded with action and scope. Every sentence adds value, achieving maximum conciseness.

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 and good annotations, the description omits parameter explanations, which is a gap. However, it covers the key behavioral nuance (secret not retrievable), making it minimally adequate for a creation 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%, and the description does not explain any of the 3 parameters (name, expires_at, request_id). The description adds no semantic value for parameters, leaving agents to infer from schema alone.

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 'Create a global (account-scoped) API key', specifying the action and resource. It also distinguishes from user-scoped keys (sibling 'create_user_api_key'), making the scope explicit.

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 account-level API keys but does not provide explicit when-to-use vs alternatives or when-not-to-use. No exclusions or alternative tools 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?

Description adds behavioral context beyond annotations: indicates the window prevents policy execution, all fields required, and specifics about rrule grammar. No contradiction with annotations (destructiveHint=true, readOnlyHint=false).

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 4 sentences, each adding value. It front-loads the purpose, then provides critical grammar details. Could be slightly more concise but no wasted content.

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 12 parameters (10 required) and an output schema, the description covers the most complex parts (rrule grammar, recurrence, status values). It doesn't explain return values, but output schema handles that. Some less complex parameters remain undocumented but are understandable from schema names.

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 meaning for the complex rrule parameter (specifying exact grammars) and mentions status and recurrence accepted values. However, other parameters like window_type, window_name, duration_minutes, group_uuids, dtstart, etc., are not explained.

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 it creates a maintenance/exclusion window to prevent policy execution on specified groups during defined periods. This distinguishes it from sibling tools like update_policy_window, delete_policy_window, and check_window_active.

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?

Explicitly states all fields are required and provides detailed grammar for the rrule field, including exact formats for recurrence types. However, it does not explicitly mention when not to use this tool or provide alternatives from the sibling 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?

DestructiveHint annotation already indicates write operation; description adds query syntax details but doesn't mention side effects, permissions, or rate limits.

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?

Two concise sentences with no fluff; first sentence states purpose, second provides parameter guidance and example.

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?

Output schema exists so return values not needed. Mentions org scoping. Could add uniqueness or naming constraints, but overall sufficient.

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, description compensates well by explaining the structured query dict with an example and covering name, query, and description. request_id is 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?

Clearly states 'create a new saved device search' with key inputs. Differentiates from sibling tools like update_saved_search but doesn't explicitly call out differences.

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?

Provides context on inputs and references advanced_device_search for query syntax, but does not specify when not to use it or compare to alternatives like update_saved_search.

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?

Annotations indicate destructive operation and open world hint. The description adds the live-verified range for refresh_interval, but does not expand on other behavioral aspects like irreversibility, required permissions, or side effects. Given annotations, the description provides marginal extra value.

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 (2 sentences) and gets to the point, but it omits important information that would be necessary for safe tool selection and invocation.

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, no enums, and a destructive operation, the description should provide context on required parameters, constraints, and typical use cases. It only covers refresh_interval, leaving the agent underinformed.

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?

Only the refresh_interval parameter is described (the same as in the schema), leaving the other 6 parameters undocumented. With only 14% schema coverage, the description fails to compensate for the missing parameter semantics.

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 creates a new Automox server group, using a specific verb and resource. However, it does not differentiate from sibling tools like update_server_group or delete_server_group, but the name and purpose are self-explanatory.

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 guidance on when to use this tool versus alternatives, no mention of prerequisites (e.g., parent group must exist), or when not to use it. The description is purely functional.

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?

Annotations indicate destructiveHint=true, but the description adds value by stating that the key secret is never surfaced and cannot be retrieved via MCP. This discloses a critical behavioral limitation beyond what annotations provide, though it could mention required permissions or irreversible nature.

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 extremely concise: two sentences, each adding essential information. No superfluous words, and the the purpose is 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 purpose and a key behavioral note, but lacks parameter explanations and usage context. Given the complexity (4 params, no schema descriptions) and the presence of an output schema, more detail on parameter semantics would make it 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%, meaning no parameter descriptions in the schema. The description does not explain any of the four parameters (user_id, name, expires_at, request_id), leaving the agent without guidance on values, formats, or semantics.

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 ('Create an API key') and the resource ('for a user'). It distinguishes from sibling tools like 'create_global_api_key' by specifying user scope, and mentions that the key secret is never surfaced, which differentiates it from retrieval tools.

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 guide when to use this tool versus alternatives like create_global_api_key. It implies usage for user API key creation but lacks prerequisites, restrictions, or context on 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?

Beyond annotations (destructiveHint=true), the description adds critical behavioral details: 'The response includes a signing secret that is ONLY shown once — save it immediately' and the limit of 5 webhooks per org. These go beyond what annotations provide, fully informing the agent of key side effects.

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?

Three concise sentences: first states purpose, second warns about the one-time secret, third lists constraints. No redundant information; every sentence adds value.

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 annotations and output schema, the description covers the main gotchas (one-time secret, limits, URL requirement). It omits parameter explanations but the schema and sibling tool list_webhook_event_types help. It does not mention authorization requirements or whether the webhook is immediately active.

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 does not explain any parameter individually despite 0% schema description coverage. Only the URL constraint ('URL must be HTTPS') adds some meaning to the 'url' parameter, but other parameters like event_types, org_uuid, request_id remain unexplained.

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 'Create a new Automox webhook subscription', using a specific verb (Create) and resource (webhook subscription). It distinguishes from siblings like list_webhooks, update_webhook, delete_webhook 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?

The description provides contextual guidance such as 'Max 5 webhooks per organization' and 'URL must be HTTPS', which inform when and how to use the tool. However, it does not explicitly mention when to avoid using it or suggest alternative tools like list_webhooks to check limits.

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?

Annotations already indicate destructiveHint=true and readOnlyHint=false, so the description doesn't need to repeat that. However, the description adds one behavioral detail (access_key never surfaced) but does not elaborate on other potential side effects or required permissions.

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 extremely concise with two sentences: the first states the core purpose, and the second adds a critical detail. No superfluous 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?

While the output schema exists (not shown), the description lacks context about side effects, error conditions, or prerequisite steps. For a creation tool with destructiveHint=true, more context is expected to ensure safe 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?

Schema description coverage is 0%, meaning the description adds no explanation for the parameters 'name' and 'request_id'. With low coverage, the description must compensate, but it fails to do so, leaving the agent without guidance on parameter semantics.

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 'Create' and the resource 'zone (organization)', distinguishing it from sibling tools like get_zone, list_zones, etc. The additional note about access_key not being surfaced adds specificity.

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 vs alternatives, nor are there any prerequisites or exclusions mentioned. The description only states what it 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?

Annotations already indicate destructiveHint=true, so the description's mention of 'Approve or reject' aligns. However, the description adds no extra behavioral context beyond the annotations, such as what happens upon approval/rejection or if notifications are sent.

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 single sentence with no wasted words. However, it is too brief to cover necessary details, sacrificing completeness for conciseness.

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 lacks crucial information about parameter values and usage context. The agent cannot determine valid inputs for 'decision' or understand the tool's role in the patch approval workflow, making it 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 and no enums. The description does not explain any parameters, such as the valid values for 'decision' (e.g., 'approve', 'reject') or the purpose of 'approval_id'. This leaves the agent without crucial information to use the tool correctly.

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 ('Approve or reject') and the resource ('Automox patch approval request'), and it distinguishes from siblings like patch_approvals_summary, which likely lists approvals rather than deciding on them.

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 gives no guidance on when to use this tool vs alternatives, no prerequisites, and no context about when to approve or reject. Sibling tools like patch_approvals_summary suggest a workflow, but it is not 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?

Annotations already indicate destructive, idempotent, and open world behavior. Description adds that action sets are console metadata (not endpoint state) and reconstructable, which provides reassurance and context beyond annotations.

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?

Two focused sentences: first states purpose, second adds valuable context. No redundant words, well-structured.

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 output schema exists and annotations cover idempotency, the description provides enough context (reconstructability, metadata nature) for a destructive tool. Missing explicit mention of idempotent behavior, but annotations cover that.

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 only mentions 'by ID' for action_set_id. The other parameter (request_id) is not explained at all. Schema coverage is 0%, so description should compensate, but it does not fully explain parameter meaning.

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 deletes a single vulnerability remediation action set by ID, distinguishing it from bulk delete (sibling delete_action_sets_bulk). It also explains what action sets are, adding 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?

The description implies use for single deletion and mentions reconstructability, but does not explicitly state when to use this vs bulk delete or other alternatives. No prerequisites or exclusions are 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?

Annotations already mark destructiveHint: true and idempotentHint: true. Description adds atomicity and reconstructability via re-uploading CSV, which provides helpful context beyond annotations without contradiction.

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?

Two sentences, front-loaded with action and constraints. Every word conveys necessary information 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 complexity (bulk, atomic, destructive), the description covers core behavior and safety. Missing details like partial failure behavior are mitigated by output schema existence and atomicity claim.

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%. Description only mentions 'action_set_ids' as 'by ID' and completely omits any explanation of 'request_id' parameter, leaving a significant gap for the agent to understand its purpose.

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 verb 'Delete', resource 'vulnerability remediation action sets', and scope 'multiple by ID (up to 100) in one atomic call', distinguishing it from sibling 'delete_action_set' which is singular.

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?

Description implies usage for bulk deletion with 'up to 100' and 'atomic call', but does not explicitly state when to use this vs the singular alternative 'delete_action_set' or provide 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?

Annotations already indicate destructiveHint=true and idempotentHint=true. The description adds 'Permanently delete', which aligns with annotations but does not provide significant additional behavioral context beyond what annotations already convey.

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 single sentence of 8 words, front-loading the action and target. It is highly concise with no extraneous 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?

The description is brief but covers the essential purpose. However, it lacks parameter explanations and does not leverage the output schema to describe return values. For a simple delete tool, it is adequate but could be more complete for clarity.

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 only mentions 'by ID', implying key_id is the identifier, but does not explain the request_id parameter or provide any details about parameter semantics. Given low coverage, the description should compensate more.

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 (delete), the resource (global API key), scope (account-scoped), and identification method (by ID). It distinguishes from sibling tools like delete_user_api_key.

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 tells when to use the tool (to delete a global API key). It does not explicitly mention when not to use or compare with alternatives, but for a simple delete operation, the context is clear.

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?

Annotations already indicate destructiveHint=true and idempotentHint=true; description adds 'Permanently' which is consistent but not additional behavioral context beyond what annotations provide.

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?

Single sentence, no fluff, front-loaded with essential 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?

Output schema exists; description briefly covers core action but omits side effects or return value expectations.

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% and description only mentions 'by ID' for policy_id, ignoring request_id entirely, providing minimal parameter explanation.

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 uses specific verb 'delete' and resource 'Automox policy by ID', clearly differentiating from siblings like delete_action_set or delete_policy_window.

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, no prerequisites or exclusions 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?

Annotations already indicate destructiveHint=true and idempotentHint=true. The description adds 'permanently', which reinforces the destructive nature but does not elaborate on side effects, authorization needs, or what happens to associated data. With annotations covering the core traits, the description's added value is marginal.

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 single, front-loaded sentence with no filler. However, it could include brief parameter guidance without sacrificing conciseness. Overall, it efficiently conveys 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 presence of an output schema, return values are not needed. However, for a delete operation with 3 parameters (only 1 required), the description omits context on how to identify the window and the role of optional parameters. The agent needs external knowledge 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?

Schema description coverage is 0%, so the description must compensate by explaining parameters. It provides no details about window_uuid (how to obtain it), org_uuid (what it does, why optional), or request_id (purpose). The description adds no semantic 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 uses 'Delete' as a specific verb and identifies the resource as 'a maintenance/exclusion window', with 'permanently' clarifying the outcome. It clearly distinguishes from sibling tools like create_policy_window, update_policy_window, and get_policy_window.

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 delete vs. update or check). There are no prerequisites or context about policy windows or the required window_uuid.

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?

Annotations already provide destructiveHint and idempotentHint; the description adds 'permanently' but does not offer additional behavioral context such as authorization requirements or impact on related entities.

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?

Single sentence with no fluff, though it could be expanded to cover parameters without losing conciseness.

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 delete operation with annotations, the description is adequate but fails to explain parameters, leaving a gap in understanding for the agent.

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% and the description does not explain any parameters; the agent gets no help understanding what saved_search_id or request_id expect or their role.

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 (delete), the resource (saved device search), and the method (by ID), which distinguishes it from siblings like update_saved_search.

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, no prerequisites, or consequences such as cascading effects on related data.

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?

Annotations already provide destructiveHint=true and idempotentHint=true. The description adds 'permanently', but does not disclose potential side effects (e.g., impact on associated devices, policies, or whether deletion fails if group has members). This is adequate but not enriching.

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 single, clear sentence with no redundant words. Every word serves a purpose, making it highly concise 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?

For a simple deletion tool, the description covers the essential action. However, it omits common context like return value (though an output schema exists), error cases, or preconditions (e.g., group must exist). It is minimally complete 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?

The input schema has two parameters (group_id, request_id) with zero description coverage. The description does not explain their roles or valid values (e.g., what request_id is used for). The agent must guess from names alone, which is insufficient.

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 'Delete an Automox server group permanently' clearly states the action (delete), resource (server group), and scope (permanently). The name 'delete_server_group' matches, and sibling tools like 'create_server_group' and 'update_server_group' confirm this tool's 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?

The description offers no guidance on when to use this tool versus alternatives, such as deactivating a group or removing devices first. No prerequisites or post-conditions are mentioned, leaving the agent to infer context from the destructive hint 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?

Annotations already declare destructiveHint=true and idempotentHint=true, so the safety profile is clear. The description adds 'Permanently delete', which reinforces irreversibility. However, it does not disclose additional behavioral details like whether cascading deletions occur or if confirmation 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?

The description is a single, concise sentence that conveys the essential information without extraneous detail. Every word is functional.

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 deletion tool with annotations and an output schema present, the description covers the core purpose and required inputs. It notes permanence. Minor gap: no mention of idempotency despite idempotentHint=true, but this is partially covered by annotations.

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 partially compensates by explaining that user_id and key_id identify the API key to delete. However, the optional request_id parameter is not mentioned, leaving its purpose unclear. The description adds some value beyond the schema but is incomplete.

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 ('delete'), resource ('user API key'), and required identifiers ('by user ID and key ID'). It distinguishes this tool from related operations like create_user_api_key, get_user_api_key, or update_user_api_key.

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 delete_global_api_key, or other deletion tools. It does not mention prerequisites, consequences, or conditions for use.

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?

Annotations already indicate destructiveHint=true and idempotentHint=true. The description adds 'permanently', reinforcing the irreversibility but no new behavioral insights. It does not contradict annotations; this is a baseline score given annotation coverage.

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 single sentence of 5 words, extremely concise. Every word is essential: 'Delete', 'Automox webhook subscription', 'permanently' specifies the action and permanence. No filler or 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?

For a simple delete tool, the description combined with annotations (destructive, idempotent) and schema is nearly complete. It states the core purpose. An output schema is present, so return values are covered. Minor improvement could mention scope like organization-level, but it's adequate.

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 3 parameters with 0% description coverage, meaning no parameter details in the schema. The description does not explain any parameter (e.g., what is 'webhook_id', 'org_uuid', 'request_id' for). It fails to compensate for the lack of schema descriptions, thus adding minimal value for parameter understanding.

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: 'Delete an Automox webhook subscription permanently.' The verb 'Delete' and resource 'webhook subscription' are specific, leaving no ambiguity. It distinguishes from siblings like 'get_webhook' or 'update_webhook' by specifying a permanent deletion action.

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. For example, it does not mention that a webhook can be temporarily disabled via 'update_webhook' instead. The tool is isolated without context for appropriate usage compared to other webhook-related tools.

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?

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds value by disclosing the compliance rollup behavior and the caveat about uptime_minutes lagging, which are beyond the annotations.

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 two sentences plus a parenthetical, efficiently conveying the purpose and a key behavioral detail. Minor improvement would be to list the parameters explicitly.

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 five parameters and an output schema, the description covers the main return values and a critical caveat. However, it lacks explanation of optional Boolean parameters, though the output schema likely fills some gaps.

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 carries the full burden. However, the description does not explain the five input parameters (e.g., include_packages, include_inventory) or their defaults, leaving the agent without semantic guidance beyond names.

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 returns 'detailed information and recent activity for a device' and specifies the compliance rollup, differentiating it from sibling tools like device_health_metrics or get_device_full_profile.

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 this tool is for retrieving comprehensive device details, but it does not explicitly state when to use it over alternatives like get_device_full_profile or device_health_metrics.

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?

Annotations already indicate read-only, non-destructive, idempotent, and open-world. Description adds significant behavioral context: explains compliance rule (non-compliant only when remediation needed, pending tracked separately), and what metrics are included (managed/unmanaged breakdown, status, check-in recency). No contradictions.

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?

Two sentences, front-loaded with purpose and scope. The second sentence adds valuable behavioral detail about compliance, but could be slightly more concise. No wasted 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?

Adequately describes return metrics for a fleet health overview tool with existing output schema. However, missing parameter-level context (e.g., what limit and max_stale_devices control) which is important for proper invocation.

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%, and the description provides no explanation for any of the 4 parameters (group_id, include_unmanaged, limit, max_stale_devices). The description does not compensate for the lack of schema 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?

Clearly states it aggregates organization-wide device health statistics including breakdowns and compliance metrics. However, it could more explicitly differentiate from similar tools like policy_compliance_stats or compliance_snapshot.

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?

Implies use for monitoring dashboards and fleet-wide overview, but does not specify when not to use it or provide alternatives. Guidance is implied rather than explicit.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, but the description adds no extra behavioral context such as response format, valid field domains, or empty result behavior.

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 two sentences with no wasted words, front-loaded with the core action in the first sentence.

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 output schema, the description fails to specify what the tool returns (e.g., suggestions list, format). It also omits constraints like valid fields or behavior when no matches are found.

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 must explain parameters but only mentions the general purpose. The parameters 'field', 'prefix', and 'output_format' are not described, leaving the agent to infer their meaning from names alone.

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 'Get typeahead suggestions' and the resource 'device search fields', distinguishing it from sibling tools like 'search_devices' or 'get_searchable_fields' that serve 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 clear context for use ('discovering valid values when building advanced device queries'), but does not explicitly mention when not to use it or name alternatives.

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?

Annotations already declare readOnly, destructive, idempotent, and openWorld hints. Description adds that unavailable tools carry available=false, gated_by env var info, and self-exclusion. Adds value beyond annotations.

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?

Two well-structured sentences with bullet-like details. No fluff, every sentence adds value. Front-loaded with primary 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 output schema exists, description explains return format variations fully. Covers all parameter behaviors, valid domains, and edge cases (unavailable, gated_by). Complete for this tool's purpose.

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 fully explains each parameter's effect: domain returns domain-specific tools with availability metadata; no domain returns index and counts; list_all_tools=true returns flat list. Adds critical meaning.

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 it is a 'Canonical inventory of Automox MCP tools, organized by domain,' with a specific verb+resource. It distinguishes itself from over 100 sibling tools as a directory that excludes itself.

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?

Explicitly says 'prefer this over cached manifests' and describes when to use domain vs no domain, but does not list explicit exclusions or alternatives.

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?

While annotations already indicate destructiveHint=true and readOnlyHint=false, the description adds minimal transparency by mentioning 'remediation' and scope. However, it fails to disclose what the 'action' parameter does, any side effects, authorization requirements, or rate limits, leaving significant gaps for the 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 single concise sentence that front-loads the purpose. However, it sacrifices necessary detail for brevity, earning a slightly lower score as it does not fully earn its place by covering key aspects.

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, the absence of parameter descriptions, and the existence of an output schema, the description is incomplete. It does not explain the 'action' parameter, the return value, or prerequisites, leaving the agent with substantial uncertainty.

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, and the description only hints at 'device_id' through 'all devices or specific device'. It does not explain the meaning of 'policy_id', 'action', or 'request_id', nor does it provide examples or constraints. The agent lacks critical information to invoke the tool correctly.

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 'execute' and the resource 'Automox policy' with a specific purpose 'for remediation'. It also specifies scope 'all devices or specific device', which distinguishes it from sibling tools like apply_policy_changes or policy_detail.

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 immediate remediation but does not provide explicit guidance on when to use this tool versus alternatives such as apply_policy_changes or clone_policy. No when-not-to-use or exclusion criteria 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?

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint, so the description's job is lighter. It adds value by specifying the returned fields (id, name, type, timestamps). No contradictions with annotations.

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 single, efficient sentence that immediately conveys the tool's purpose. No redundant information, and it is front-loaded with the key action and resource.

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 read tool with good annotation coverage, the description is mostly adequate but misses details like the output_format parameter, response structure, or error handling. It provides the core information but has gaps.

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%, meaning the one parameter (output_format) is not described in the schema. The description does not mention this parameter at all, failing to compensate for the low coverage or add any semantic meaning.

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 the tool retrieves Automox account details, listing specific fields (id, name, type, timestamps). It distinguishes from siblings like get_account_user and get_user by focusing on the account entity itself.

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., list_organizations, get_user). The description only states what it does, leaving the agent to infer usage context without exclusions 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?

The annotations already indicate readOnlyHint=true and idempotentHint=true, so the tool is safe and repeatable. The description adds valuable behavioral context: the nuance about 'two_factor_authentication' carrying literal string 'disabled' when 2FA is off and the ambiguity of null/absent values. No contradiction with annotations.

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 two sentences long, front-loading the core action and then adding a critical behavioral note. Every sentence serves a purpose, no wasted 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?

The description explains the return fields (status, RBAC role, verification, 2FA type) and provides a caveat about two_factor_authentication. However, without an output schema, it does not fully describe all possible response fields or error conditions, leaving some ambiguity.

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 2 parameters with 0% coverage from description. The description indirectly explains user_id by mentioning UUID but does not describe the output_format parameter at all. For a tool with low schema coverage, the description should compensate, but it only partially addresses one parameter.

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 purpose: 'Get an account-scoped user record by UUID' and lists the specific fields returned (status, account RBAC role, verification, 2FA type). It distinguishes from sibling tools like 'get_user' which likely operates at a different scope.

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 retrieving a user record by UUID, but it does not explicitly explain when to use this tool versus alternatives such as 'get_user' or 'list_users'. No exclusions or comparisons are 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, etc. The description adds value by clarifying the `status` field behavior based on live observation, noting that 'active' is a spec-only example. However, it does not disclose other behavioral traits like latency or authentication needs.

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 and a reference. The first sentence clearly states the purpose, but the reference to 'metadata.field_notes' may be ambiguous without context.

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 2 parameters, no output schema, and annotations present, the description covers the core purpose and a key field behavior. However, it does not outline what 'details' include or provide expectations for the output.

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%, and the description adds no information about either parameter (action_set_id, output_format). It does not compensate for the lack of schema 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 'Get details for a specific vulnerability remediation action set,' specifying the verb and resource. It distinguishes from sibling tools like get_action_set_issues and get_action_set_solutions by focusing on general details, but does not explicitly differentiate.

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. It does not mention when not to use it, nor does it reference sibling tools 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds context that the tool returns CVEs tracked for remediation, which is useful beyond annotations. However, it does not mention return format or any rate limits/auth needs, but annotations cover the key safety traits.

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?

Two sentences, zero wasted words. The first sentence states the core function, the second adds context. Front-loaded and 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?

The tool is simple (2 params, no output schema), so the brief description might suffice, but it lacks parameter details and return value explanation. The annotations help, but overall completeness is mediocre for an agent that needs to invoke it 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?

Despite 0% schema description coverage, the description does not explain the parameters (action_set_id, output_format). It only refers to 'action set' in the first sentence, leaving agents to infer parameter meanings. No default values or format options are clarified.

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 'Get' and the resource 'vulnerability issues (CVEs) associated with an action set.' It specifies the content (CVEs) and purpose (tracked for remediation), distinguishing it from siblings like get_action_set_detail and get_action_set_solutions.

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 when needing to see tracked vulnerabilities, but it does not explicitly state when to use vs. alternatives (e.g., list_remediation_action_sets, get_action_set_detail). No exclusion criteria or contextual 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?

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds valuable context about severity and status being coded strings with observed transitions and unverified specifications, going beyond the structured metadata.

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 two sentences, front-loaded with purpose and then technical detail. Efficient and well-structured.

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 existence of output schema, the description need not detail all return fields. However, it omits high-level overview of the output structure and relies on external references. 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 description coverage, the description fails to explain the parameters (action_set_id and output_format). It only discusses output field semantics, not parameter meaning or acceptable values.

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 solutions (patches/configurations) for a vulnerability action set. It uses a specific verb and resource, but does not explicitly differentiate from sibling tools like get_action_set_issues or get_action_set_detail.

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 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?

Annotations already provide readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds that it is cached and keyed by search execution ID, which is useful but minimal. It does not disclose additional behaviors like data freshness, rate limits, or error handling.

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 two sentences, each serving a distinct purpose: stating the function and differentiating from a sibling. No unnecessary words. Well 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 output schema, the description is minimal. It doesn't specify pagination behavior, default values, or what happens if the search_id is invalid. However, the annotations provide some safety context, and the sibling list helps. 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?

Schema description coverage is 0%, meaning no parameter descriptions. The description only mentions 'keyed by search execution ID' which hints at search_id, but does not explain the meaning of page, limit, or output_format parameters. Thus, it fails to add 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 the tool retrieves cached results from a previously-executed device search, using a search execution ID. It explicitly distinguishes from get_saved_search_results, which is a sibling tool that re-executes a saved search. This provides high specificity and differentiation.

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 gives context on when to use this tool (retrieve cached results) and explicitly contrasts with get_saved_search_results. However, it doesn't mention other alternatives or when not to use it, missing some guidance on exclusion.

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?

Annotations already indicate safety (readOnly, non-destructive, idempotent). Description adds context by specifying the three data categories included, providing behavioral insight beyond annotations.

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?

Two concise sentences, front-loaded with the key value proposition. No extraneous 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?

Output schema exists, so description doesn't need to detail return structure. Covers the main purpose and data types. Lacks detail on parameter usage, but overall sufficient for a snapshot 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 has 0% description coverage for parameters (group_id, detail_limit). Description does not explain what these parameters do, leaving the agent uninformed about their purpose or format.

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 describes the tool as a combined view of compliance-related data (non-compliant devices, fleet health, policy statistics) and positions it as answering a specific question. Differentiates from sibling tools by being an aggregated snapshot.

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?

Explicitly states the tool answers 'What is our compliance posture?' indicating when to use. Does not explicitly list when not to use or alternatives, but the context is clear given sibling tools.

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?

Annotations already declare readOnlyHint and idempotentHint. The description adds specifics about returned fields (status, is_completed, etc.) and warns about the presigned URL not being returned, which is useful beyond annotations.

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 single paragraph, immediately states the purpose, and then provides clear detail. Every sentence adds 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 explains return fields adequately for a tool without output schema, but fails to document the input parameters. For a two-parameter tool, this is a significant gap.

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, and the tool description does not explain either parameter (extract_id, output_format). The agent receives no information about what extract_id expects or how output_format affects the response.

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 'Get details for a data extract job' and enumerates the returned fields. This differentiates it from sibling tools like create_data_extract and list_data_extracts.

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, no prerequisites or exclusions. Only a note about the download URL not being returned, which is not usage 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?

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. Description adds no behavioral context, but annotations are sufficient.

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?

One concise sentence with no unnecessary words or 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?

For a simple read-only tool with one optional parameter and safety annotations, the description covers the core purpose. It could mention the return format or that it returns a list, but it is adequate.

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?

Single parameter 'output_format' with default 'json' is self-explanatory from the schema. Description adds no parameter details; with 0% schema description coverage, the description does not compensate, but the parameter is trivial.

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 'Get' and the resources 'device-to-policy and device-to-group assignments', distinguishing it from sibling tools like get_device_by_uuid or list_devices.

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 provided on when to use this tool versus alternatives, nor any prerequisites or context for its use.

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?

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds valuable behavioral context: it explains that integer policy codes include a status_label (with specific compliance interpretation) and that uptime_minutes is sampled at last full scan and may lag. This goes beyond annotations to clarify data semantics and freshness.

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 two sentences long and front-loaded with the core purpose. Every sentence adds relevant detail (status_label, uptime behavior) without 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?

Given no output schema, the description explains key response aspects (policy codes, uptime). However, it could provide a broader overview of the 'near-raw payload' structure or mention other important fields. Despite this, it offers sufficient context for a simple retrieval 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%, so the description must compensate. However, the description does not explain the purpose or format of either parameter (device_uuid, output_format). It only indirectly references UUID in the tool name. No additional meaning is added for the 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 the tool retrieves the 'near-raw device payload by UUID' via the canonical /servers endpoint. The verb 'get' and resource 'device payload by UUID' are specific and unambiguous, providing strong purpose clarity.

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 any guidance on when to use this tool versus alternative tools such as 'device_detail', 'get_device_full_profile', or 'list_devices'. No exclusions or context about tool selection 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?

Annotations already indicate readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds specific behavioral details: inventory is summarized, packages are capped, and pending_commands include command_type and scheduled_time.

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 three sentences, each serving a purpose: purpose, details, and alternatives. It is front-loaded and concise with no 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?

Given the tool's complexity (combining multiple aspects) and the presence of an output schema, the description covers the key behavior: composite result, caps, and alternatives. It omits the detail_limit parameter but is otherwise 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 coverage is 0%, so the description must compensate. It explains max_packages default and purpose, and implicitly mentions device_id. However, it does not explain detail_limit, leaving one parameter undescribed.

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 combines device detail, inventory summary, packages, and policy assignments into a single call. It uses specific verbs and resources, and distinguishes from siblings like get_device_inventory or list_device_packages.

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 explicitly recommends using get_device_inventory or list_device_packages for full data, and explains the cap on packages (max_packages default 25) and the structure of pending_commands entries.

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?

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds that it uses the 'Console API device-details endpoint', which is minor behavioral context. No contradictions.

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?

Two sentences, front-loaded with key information. No unnecessary words. 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?

Given the output schema exists, the description covers the main data types and filter capability. It omits pagination or limits but is adequate for a straightforward retrieval 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 only hints at the optional 'category' filter but does not explain the required 'device_id' parameter or provide format guidance. Insufficient compensation.

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 'Retrieve' and the resource 'detailed device inventory data', listing specific categories. It distinguishes from siblings like 'device_detail' by focusing on inventory.

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. Among many device-related siblings, the description does not explain when to choose this over options like 'device_detail' or 'device_full_profile'.

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?

Annotations already declare readOnlyHint, idempotentHint, and non-destructive nature. The description adds that it returns field names and types, which aligns with annotations. No contradictions, but little additional behavioral context beyond what annotations provide.

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?

Two clear sentences with no unnecessary words. Information 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?

For a simple read-only metadata tool, the description conveys the purpose and return concept but omits parameter details and output format. It is adequate but not fully complete given the absence of output schema and parameter descriptions.

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% for the single parameter 'output_format', and the description does not mention this parameter at all. The agent gets no explanation of what 'output_format' does or its allowed values beyond the schema definition.

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 a specific verb ('Get') and resource ('available fields for device queries'), and mentions returning field names and types. It is clear but does not explicitly differentiate from the sibling 'get_searchable_fields', which may serve a similar 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 guidance on when to use this tool over alternatives. The description does not mention any prerequisites, context, or exclusions, leaving the agent to 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?

Adds value beyond annotations by explaining that start/end are derived from dtstart+duration_minutes+rrule (not stored), and timezone basis follows use_local_tz. Annotations already indicate read-only, idempotent, non-destructive; description supplements with system behavior details.

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?

Two sentences with clear, front-loaded purpose. The first sentence delivers main action and return values. Second sentence adds necessary detail without verbosity. Could be slightly more structured (e.g., bullet parameters) but remains 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 core functionality and derived-field behavior. Missing description for 'org_uuid' parameter. Output schema exists, so return values need not be explained. Annotation openWorldHint could be addressed, but not critical. Fairly complete for a read tool with annotations.

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 description must compensate. Only the 'date' parameter is described (ISO 8601 UTC, optional). 'device_uuid' is implied by tool name but not elaborated; 'org_uuid' is not mentioned at all. Incomplete parameter 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 it gets upcoming scheduled maintenance periods for a specific device, specifying return values (start/end times, window types) and optional date limit. It is specific about the verb and resource, but does not explicitly differentiate from sibling tools like get_group_scheduled_windows.

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 get_group_scheduled_windows or search_policy_windows. The description implies usage for device-specific windows but provides no exclusions or comparative 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?

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds that 'start/end are derived occurrence times' (not stored directly) and that timezone follows the window's use_local_tz, which is valuable behavioral context beyond annotations.

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: two sentences plus an additional clarifying sentence about derived times. Every sentence adds 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?

With an output schema present, the description needn't detail return values. It covers the core purpose, the date parameter, and a key behavioral nuance. However, it omits explanation of the 'org_uuid' parameter and doesn't elaborate on 'window types'. Overall, fairly complete but with a minor gap.

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 must compensate. It explains the 'date' parameter as an ISO 8601 UTC future limit, but does not clarify 'group_uuid' or 'org_uuid'. This adds partial meaning but leaves gaps.

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 purpose: 'Get upcoming scheduled maintenance periods for a server group.' It specifies the resource (server group) and the output (start/end times, window types). This distinguishes it from sibling tools like get_device_scheduled_windows and get_policy_window.

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 mentions optional usage of the 'date' parameter as a future date limit in ISO 8601 UTC, but does not provide explicit guidance on when to use this tool versus alternatives, nor does it specify conditions for not using 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?

The description adds significant behavioral detail beyond annotations: bitmask sibling fields, timezone-less time strings, enum vocabulary for severity, and the distinct handling of 'unknown' vs 'no_known_cves'. No contradictions with readOnlyHint or idempotentHint.

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 front-loaded with purpose but becomes verbose with detailed enum documentation. It could be more concise, though the details are valuable. About 100 words, slightly above ideal.

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 output schema exists, the description compensates well for output behavior. However, it fails to document input parameters, which is a significant gap for a tool with 2 parameters and no schema coverage. The complexity is moderate, but completeness suffers.

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%, and the description does not explain the two parameters (group_id, detail_limit). It only describes output behavior, leaving parameter semantics entirely undocumented.

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 ('get/view') and resource ('patch Tuesday readiness'), and distinguishes it as a combined view of pre-patch report, pending approvals, and patch policy schedules. This sets it apart from sibling tools like prepatch_report or patch_approvals_summary.

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 checking readiness in a single call, but does not explicitly discuss when to use alternatives or when not to use it. The sibling list is long but no comparisons are made, so guidance is minimal.

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?

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds value by noting the return format details (lowercase/uppercase). No contradictions.

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?

Two concise sentences without fluff. Front-loaded with the action 'Retrieve details'. Every sentence adds value.

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, an output schema exists (covers return details). The description covers input and key output fields. Could mention potential errors or auth, but overall adequate for a retrieval tool.