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

No annotations are provided, and the description does not disclose whether the tool is read-only, what kind of result it returns, whether it performs any registration or mutation, or how compatibility is determined. The agent must infer safety and side effects from the word 'check' alone.

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 definition is a single short sentence with no filler, which is efficient. However, it is so sparse that it sacrifices enough meaning to be only minimally useful.

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 five parameters, no annotations, no output schema, and no parameter-level documentation, the description is insufficient for an agent to invoke the tool correctly. The agent cannot know what the compatibility result looks like or which parameters are essential beyond the required fields.

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 meaning for any of the five parameters. It neither explains that 'subject' identifies the schema series, what 'schema_definition' should contain, nor the roles of context, registry, and schema_type.

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 and resource: checking schema compatibility against the latest version. However, it does not name the subject or registry explicitly, leaving 'latest version' somewhat ambiguous until the schema parameters are inspected.

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

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

No guidance is given about when to use this tool rather than related siblings such as get_schema_versions, register_schema, or get_subject_config. The intended context is only implied by the tool name and the presence of subject/schema_definition parameters.

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

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

No annotations are provided, so the description carries the transparency burden. 'Count' implies a non-mutating read operation, which is useful, but the description does not disclose what happens when the nullable registry parameter is null, what errors may occur, or what result shape to expect.

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 terse sentence with no filler, and the core action is front-loaded. It is efficient, though it could add a clarifying note about the default registry without becoming bloated.

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 no annotations, no output schema, and a nullable defaulted parameter, the description leaves key information unresolved: what omitting registry means, whether a registry is required at all, and what the returned count looks like. The tool is simple, but the definition is not complete enough for confident autonomous 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%, so the description must compensate for the undocumented parameter. It only restates the role of 'registry' without explaining the null/default behavior or acceptable values, leaving an important ambiguity for the only 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 states a specific action ('count'), a resource ('contexts'), and a scope ('in a registry'), so it is clear what the tool does. It is distinguishable from siblings like list_contexts and count_schemas, though it does not explicitly name or contrast 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?

There is no guidance about when to use this tool versus alternatives such as list_contexts, count_schemas, or get_registry_info. The description gives no context for when a registry should be supplied or omitted, leaving usage entirely to inference.

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

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

With no annotations at all, the description carries the full burden of behavioral disclosure. It reveals only that the tool counts schemas, but not whether it counts versions as separate entries, whether the returned value is a simple integer, whether both context and registry can be counted at once, or what the default behavior is when both parameters are null. For a read-style counting tool this is minimal but incomplete.

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, short sentence with no filler. It front-loads the action and immediately states the scope. Every word earns its place, and nothing extra is included.

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

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

For a tool with two optional parameters, no output schema, and no annotations, this description under-specifies the calling contract. The main missing piece is how to choose and combine the context and registry parameters, especially given the ambiguity of 'or'. The description is adequate for knowing the tool's purpose but not fully adequate for confidently invoking it with correct arguments.

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 for the two entirely undocumented parameters. It does name 'context' and 'registry' as the scoping dimensions, which is helpful, but it does not clarify their format, their null defaults, whether they are alternatives or combinable, or any precedence. The bare phrase 'context or registry' gives only weak semantic signal.

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 clear verb ('count'), a resource ('schemas'), and a scope ('in a context or registry'). It distinguishes itself from nearby siblings like count_contexts and count_schema_versions by specifying 'schemas' rather than contexts or versions. It could be sharper about what 'registry' means in this tool versus the registry-focused sibling tools, but the core action is clear.

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

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

No guidance is given on when to use this tool instead of count_schema_versions, count_contexts, or the registry/subject listing tools. The description also never explains whether 'context' and 'registry' are mutually exclusive options, whether one is preferred, or what happens if both are supplied. An agent cannot confidently decide between this and its close siblings from the description alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Count the number of versions' implies a read-only operation, but it does not clarify behavior for missing subjects, registry/context resolution, or whether deleted/soft-deleted versions are included.

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, front-loaded, and has no wasted words. It is concise, but it achieves this by sacrificing necessary context, so it is not fully optimal.

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 too minimal for a tool with three parameters, no annotations, no output schema, and a closely related sibling (get_schema_versions). It lacks essential details about parameter roles, return value, and when this tool is the right choice.

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 compensate. It only alludes to 'a specific schema' without explaining the subject, context, or registry parameters, so an agent cannot reliably determine what values to provide.

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 clear verb and resource: count versions for a schema. It is specific enough to convey the core operation, but it does not explicitly differentiate itself from the sibling get_schema_versions, so an agent may not immediately know which to choose.

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 get_schema_versions or get_schema. No alternatives, prerequisites, or exclusions are mentioned, leaving the agent to infer the correct context.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only implies a side effect by saying 'create'; it does not disclose whether the operation is idempotent, what happens on duplicate context names, how the optional registry affects behavior, or what the response looks like.

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

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

The description is concise and free of filler, but it is a single under-specified sentence with no structural breakdown of the operation or its parameters. It earns its place as a high-level statement but provides no additional structure.

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 absence of annotations, output schema, and parameter descriptions, a six-word description is not enough for an agent to invoke the tool correctly. The meaning of 'schema context', the expected format of the context string, and the role of the optional registry are all left unexplained.

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, but it adds nothing about the required 'context' string or the optional 'registry' parameter. An agent receives no guidance on what values to supply, making the parameters effectively opaque beyond their type and default.

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 names a specific action ('Create') and a specific resource ('a new schema context'), so the core purpose is clear. It does not, however, explain what a schema context is or how this creation tool differs from the many registry/schema sibling tools, so it stops short of full 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 no indication of when to use this tool versus alternatives like register_schema or list_contexts, and it states no preconditions or typical scenarios. An agent must infer from the name alone when this tool is the right choice.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does not deliver. It never states whether the operation is read-only, which formats are supported, what the output looks like, or how the registry/context/version parameters affect 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 front-loaded sentence with no wasted words. However, it is under-specified rather than efficiently informative; a few more sentences were required to make it useful.

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 5 parameters, 0% schema coverage, no annotations, and no output schema, the description provides only a headline. An agent cannot determine allowed formats, the return shape, or the roles of the optional parameters without opening other tools or guessing.

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 loosely maps to two parameters—'a single schema' (subject) and 'the specified format' (format)—but says nothing about context, registry, or version, which remain completely 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 states a clear verb and resource—'Export a single schema'—and adds a distinguishing manner, 'in the specified format,' which hints at serialization/conversion rather than plain retrieval. However, it does not explicitly differentiate from siblings like get_schema, get_schema_by_id, or export_subject, leaving some ambiguity about what 'export' adds.

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

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

No guidance is given on when to use this tool versus alternatives such as get_schema, get_schema_versions, or export_subject. There are no usage conditions, exclusions, or named alternatives, so the agent must infer the tool's niche from its name alone.

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

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It only states the scope of the export ('all versions') and does not explain output format, destination, side effects, permissions, or failure 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, front-loaded sentence with no wasted words, which is structurally concise. However, it is terse to the point of under-specification for a tool with six parameters and no other contextual documentation.

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 six parameters, no output schema, and no annotations, this description leaves too much unspecified. An agent would struggle to know what the export returns, how to configure the optional parameters, and why this tool should be chosen over export_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?

Schema description coverage is 0%, and the description adds no parameter-level meaning. It does not mention registry, context, include_config, include_metadata, or include_versions; 'subject' merely restates a property name already visible in 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 a specific verb ('Export') and identifies the resource ('all versions of a subject'), clearly indicating what the tool acts on. However, it does not explicitly distinguish this from sibling tools like export_schema or get_schema_versions, so some ambiguity remains.

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 about when to use this tool versus alternatives such as export_schema or get_schema_versions. The phrase 'all versions' provides only an implicit cue, with no explicit context, exclusions, or sibling references.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Generate resource URI templates', which suggests a read/computation behavior but does not state whether the tool persists anything, requires a registry connection, or returns a list of URIs. The absence of an output schema makes this gap more significant.

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 no wasted words. However, it is so sparse that it leans toward under-specification rather than appropriately concise writing. A bit more structure, such as naming the key inputs or output, would improve usability without becoming verbose.

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?

This tool has three optional parameters, no output schema, and no annotations, so the description must supply nearly all context. It fails to explain parameter usage, output format, or how this generation relates to registry/subject configuration. An agent would not be able to reliably select and invoke this tool correctly based on this description alone.

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 three parameters (context, subject, registry_name) with 0% description coverage, and the tool description adds no meaning to any of them. It does not explain what each parameter is for, how they interact, or whether they are filters or inputs to template generation. The description's reference to 'your specific configuration' is too generic 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 states a specific action and resource: 'Generate resource URI templates'. It also adds the scoping phrase 'for your specific configuration', which gives some context. However, it does not distinguish this tool from sibling tools like list_available_resources or get_mcp_compliance_status_tool, and 'resource URI templates' remains a somewhat technical, unexplained concept.

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 any sibling tool, prerequisites, or conditions that would select this tool over others. The phrase 'for your specific configuration' implies a use case but is too vague to serve as actionable 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?

No annotations are provided, so the description must fully disclose behavior. It implies a read-only operation, but does not explain what 'default registry' means, what the return value looks like, or any edge cases (e.g., no default configured). The description is minimal and carries little behavioral context beyond the obvious.

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 short sentence that directly states the operation. Every word earns its place, and there is no fluff 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 zero-parameter getter, the description is mostly sufficient for invoking the tool, but it lacks context about what a 'default registry' is and how it relates to the many sibling registry tools. The absence of an output schema means the description could have usefully hinted at the result type, but this is not critical for a no-input call.

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

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

The tool has zero parameters, so there is no parameter meaning for the description to add. The schema already fully covers this, and a baseline of 4 is appropriate since no explanation is needed for invocation.

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

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

The description states a clear verb ('Get') and a specific resource ('the current default registry'). It is not a tautology and conveys the tool's core action. However, it does not distinguish itself from sibling tools like get_registry_info or list_registries beyond the word 'default'.

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 such as get_registry_info or list_registries. No context, prerequisites, or exclusions are provided, so the agent must infer the appropriate situation from the name alone.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, yet it only reveals that the tool is legacy ('maintained for backward compatibility') and comparatively slower. It doesn't disclose side effects, response shape, error behavior, or permission requirements, which matters for a tool positioned against a recommended replacement.

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 no waste: the purpose is front-loaded, and the deprecation note earns its place by naming the preferred alternative and the reason. The structure is clean and scannable.

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

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

For a tool with two undocumented parameters, no output schema, and no annotations, the description is too thin to support confident invocation. It omits response format, parameter semantics, and the conditions under which the tool is preferable to the suggested resource, which is especially costly given the ~27 sibling registry tools competing for selection.

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 mentions neither the 'context' nor 'registry' parameters, so it fails to compensate for the undocumented schema. The parameter names hint at their domain meaning, but the agent gets no guidance on valid values, how the parameters combine, or whether one takes precedence.

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?

States a specific verb and resource ('Get global configuration settings') that makes the tool's function immediately clear. The backward-compatibility note and the pointer to the 'registry://{name}/config' resource help position it relative to the large sibling cluster, though it doesn't explicitly contrast with close siblings like get_subject_config or get_registry_info.

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 NOTE gives explicit guidance to prefer the 'registry://{name}/config' resource instead, with a concrete reason (better performance), establishing a clear when-not-to-use condition with a named alternative. However, it never states the conditions under which this tool should be chosen over the resource, leaving that inference to the agent.

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

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

No annotations are provided, so the description carries the full burden. It discloses the nature of the returned data (batching status, protocol version, header validation, migration guidance) and the read-only 'Get/Returns' framing, but it does not state explicit side-effect-free behavior, auth needs, rate limits, or whether it performs network calls. It is adequate but not comprehensive.

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

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

The description is two sentences with no filler. The primary purpose is front-loaded, and the second sentence provides concrete details about the returned information. Every phrase 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?

For a zero-parameter tool with no output schema, the description covers the main purpose and the categories of returned information. It is slightly vague on exact response structure and configuration details, but the simplicity of the tool makes this a minor gap rather than a critical omission.

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 zero parameters and 100% description coverage, so the baseline is 4. The description adds no parameter-specific guidance, but none is needed for a parameterless 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 identifies a specific operation: getting MCP 2025-06-18 compliance status and configuration details. The verb 'Get' plus the precise resource ('MCP specification compliance status') distinguishes it from all sibling tools, which focus on registries, schemas, contexts, and configs—none of which overlap with compliance checking.

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 usage is implied but not explicit: an agent can infer to use this tool when checking MCP spec compliance or planning migration. However, there are no explicit when-to-use conditions, prerequisites, or comparisons to alternatives like get_global_config or get_mode, leaving some room for interpretation.

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

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

With no annotations, the description carries the burden. 'Get' clearly implies a read-only operation, and the backward-compatibility note adds context about performance trade-offs. However, it does not disclose the response shape, error behavior, or whether additional permissions are needed, leaving some transparency gaps.

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 short sentences with no filler. The main purpose is front-loaded, and the compatibility/resource guidance is concise and useful.

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 no output schema and no annotations, the description should explain the parameters and the meaning of the returned mode. It only points to an alternative resource, leaving critical calling information unstated.

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 the 'context' or 'registry' parameters. An agent only knows these are nullable optional strings, not what values they expect or how they affect the returned mode.

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

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

The description uses a specific verb ('Get') and identifies the resource ('current mode of the Schema Registry'), which clearly distinguishes it from sibling tools like get_subject_mode. It does not explain what 'mode' means or differentiate from get_global_config, so it stops short of a 5.

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 states the tool is kept for backward compatibility and recommends using the 'registry://mode' resource for better performance. This gives an agent actionable guidance on when to avoid this tool, though it doesn't state specific scenarios where using get_mode is preferred.

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

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

No annotations are present, so the description must disclose behavior itself. It only labels the operation as informational ('Get detailed information') and notes backward compatibility/performance; it does not describe what information is returned, error behavior, or any side effects. The backward-compatibility note adds some context, so this is not a 1, but it is thin.

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 short sentences, with the core purpose first and the compatibility note separated. No filler. The structure is front-loaded and scannable.

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

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

For a one-parameter read tool it is reasonably scoped, but with no output schema and no parameter docs, the agent lacks return-format and value-format details. It is sufficient to route to the alternative resource, but not fully complete for direct 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 does not explain the 'registry' parameter beyond naming the resource. The resource-style {name} hints the value is a registry name, but the description never states that or what format/values are accepted. It also leaves the nullable/default behavior unaddressed.

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?

States a specific verb-plus-resource: 'Get detailed information about a specific registry.' The tool name and description align, and the mention of the 'registry://info/{name}' resource clarifies the object type. It doesn't explicitly distinguish from list_registries, but 'specific registry' makes the scope clear.

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 names an alternative ('registry://info/{name}' resource) and recommends it for better performance, while noting the tool is for backward compatibility. This gives the agent a clear preference but no hard condition for when to fall back to the tool.

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

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

No annotations are provided, so the description carries the behavioral burden. It adds useful context beyond the obvious 'get' operation: the tool is legacy/backward-compatibility and the alternative resource has better performance. However, it does not disclose the return shape, error behavior, or any auth/rate-limit considerations, and there is no output schema to fill that gap.

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 short sentences, front-loaded with the core purpose and followed by a focused compatibility note. Every word earns its place; there is no filler, and the structure makes the recommendation easy to scan.

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, zero param documentation, no annotations, and no output schema, the description is under-specified. It fails to explain what the tool returns, what registry/context mean, or how this compares to get_schema_by_id. The performance note and legacy framing help, but an agent lacks enough detail to reliably invoke and interpret results.

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, but it only weakly does so. The phrase 'specific version' clarifies the version parameter, and the resource URI 'schema://{name}/{context}/{subject}' hints that context and subject are identifier components. However, the meaning of registry, the format/behavior of version (despite its 'latest' default), and the relationship between registry and context are left 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 states a specific verb and resource: 'Get a specific version of a schema.' This is clear about the core operation and the 'specific version' wording hints at the distinction from get_schema_versions. However, it does not differentiate from other schema-lookup siblings like get_schema_by_id, which fetches schemas by ID rather than by subject/version.

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 an explicit alternative: 'Consider using the schema://{name}/{context}/{subject} resource instead for better performance,' and frames the tool as maintained for backward compatibility. This gives clear when-to-prefer-another-direction guidance. It does not, however, address the sibling tools that also retrieve schemas (get_schema_by_id, get_schema_versions), so routing is only partially covered.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates the action and does not mention read-only behavior, registry handling, response contents, or error conditions. For a tool with no annotation coverage, this lacks important 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, short sentence that front-loads the action and the key identifier. Every word earns its place, and there is no redundant or filler 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?

For a simple two-parameter fetch, the description is nearly sufficient, but it lacks guidance on registry behavior and does not direct the agent to sibling tools. Since there is no output schema, a little more detail about the result or the distinction from get_schema would improve completeness.

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

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

Schema coverage is 100%, so the input schema fully documents schema_id and registry. The description adds minimal parameter meaning beyond 'globally unique,' which slightly reinforces schema_id but does not meaningfully extend what the schema already provides.

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 and resource ('Get a schema') and identifies the lookup key ('globally unique ID'). However, it does not explicitly distinguish itself from the sibling get_schema tool, so an agent must infer the difference from the ID-based lookup rather than being told.

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

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

No guidance is provided on when to use this tool versus alternatives like get_schema, get_schema_versions, or list_subjects. The phrase 'globally unique ID' hints at the right condition—use when you have a schema ID—but there is no explicit when-to-use or when-not-to-use guidance.

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

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

There are no annotations, so the description carries the full behavioral burden. It adds a maintenance/performance note but does not disclose return shape, error behavior, defaults for optional registry/context, or pagination/ordering, which an agent would need for a schema-versions listing.

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 core one-sentence definition is followed by a clearly separated, relevant note. Every sentence earns its place and the most important scope information 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?

For a tool with no annotations, no output schema, and no parameter documentation in the schema, this description is too thin. It fails to explain registry/context semantics or what the returned version list contains, so an agent cannot reliably construct a complete invocation beyond the required subject.

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 names 'subject' but gives no meaning for the optional 'context' and 'registry' parameters or their null defaults, leaving the agent to guess what values are valid.

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 clear action and resource: retrieving all versions of a schema for a subject. It is specific enough to separate this from sibling read tools like get_schema and get_schema_by_id, though it does not explicitly contrast against 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 note explicitly marks the tool as a backward-compatibility path and names a preferred alternative (schema://.../versions) with a reason (better performance). This gives an agent clear when-to-use/when-not-to-use guidance.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Get' implies a read-only operation, and the note adds maintenance status and a performance caveat. However, it does not disclose response format, error behavior, or whether registry access is involved, leaving the behavioral picture incomplete.

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 short sentences with no filler. The purpose is front-loaded, and the backward-compatibility/alternative-resource note is concise and earns its place. The structure is clean and scannable.

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

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

For a tool with three parameters, no annotations, and no output schema, this description is too thin. It omits parameter meanings, return values, and caller-facing caveats. While the subject scope and legacy status are clear, an agent would need to infer too much to invoke this tool confidently.

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 any of the three parameters. 'subject' is only implicit in 'specific subject,' while 'context' and 'registry' are left entirely unexplained. An agent cannot determine meaningful parameter values or optional-parameter behavior from this 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 clearly states a specific verb and resource: 'Get configuration settings for a specific subject.' This establishes the scope and distinguishes it from global config tools. However, it does not name sibling tools like get_global_config or get_subject_mode, so the differentiation is inferred rather than 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 gives a direct usage alternative by recommending the 'subject://{name}/{context}/{subject}/config' resource for better performance and marking the tool as backward-compatibility-only. This is useful routing guidance, but it does not spell out when the tool itself should still be used or what conditions make the resource preferable beyond performance.

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

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

No annotations are present, so the description carries the behavioral disclosure burden. 'Get' implies a read-only operation, and the backward-compatibility note adds maintenance context. However, it does not describe return values, error behavior, or permission implications, leaving some behavioral gaps.

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

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

The description is concise and well-structured: the main purpose is stated first, followed by a brief deprecation note and a pointer to the preferred alternative. No filler or redundant information.

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

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

Without annotations, an output schema, or parameter explanations, the description leaves important context missing: what the returned mode looks like, how context/registry affect the lookup, and what the resource alternative changes. The compatibility note is helpful but not enough to make the tool fully self-contained.

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

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

Schema description coverage is 0%, so the description should compensate by explaining parameters. Only 'subject' is implied through 'specific subject', while 'context' and 'registry' are not explained at all, leaving agents to guess their roles.

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 'operational mode for a specific subject'. It also distinguishes this tool from the sibling get_mode by emphasizing subject-specific scope rather than a global mode.

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 tells the agent this tool is maintained for backward compatibility and recommends using the 'subject://{name}/{context}/{subject}/mode' resource instead for better performance. This provides clear when-to-use vs. alternative 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?

No annotations are provided, so the description carries the behavioral disclosure burden. It only restates the core query and does not disclose return shape, whether all versions or only latest are returned, not-found behavior, or how the optional registry parameter affects results.

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 with no filler. The key operation and input are front-loaded, making it easy to parse quickly.

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 no output schema and no annotations, the description gives only a coarse statement of the result: 'subjects and versions.' It is minimally viable for a two-parameter lookup, but it omits output structure and edge-case behavior that would make the tool fully self-explanatory.

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 already documents both parameters completely, including the integer schema_id and the optional registry with its default behavior. Since schema coverage is 100%, the description does not need to add parameter detail, but it also adds nothing 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 states a concrete action and resource: 'Get subjects and versions' keyed by a schema ID. It is clearly distinct from closely named siblings like get_schema_by_id and list_subjects, though it does not explicitly name those alternatives.

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

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

The description implies the use case: call this when you have a schema_id and need the subjects and versions associated with it. It does not provide explicit when-not-to-use guidance or name alternatives such as get_schema_by_id or get_schema_versions.

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

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

With no annotations, the description carries the behavioral burden. The verb 'List' implies a read-only, non-destructive operation, which is helpful, but it does not disclose details such as whether the list is limited to the current server, whether it includes only registered resources, or whether invocation has any side effects. It is not misleading, but it is thin.

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

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

The description is one short sentence with no filler or redundancy. It front-loads the primary action and object, and the mention of usage patterns is the only added detail, which is efficient.

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

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

Given the zero-parameter schema, the description is minimally sufficient to invoke the tool. However, there is no output schema and no annotations, and the description does not clarify the return format or how 'available MCP resources' differs from the many sibling registry/subject listing tools. An agent might still need additional context to select it confidently.

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

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

The tool has zero parameters and an empty input schema, so there is no parameter semantics for the description to clarify. According to the baseline for 0-parameter tools, this is appropriately handled.

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

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

The description uses a specific verb, 'List', and clearly identifies the target resource: 'available MCP resources'. Adding 'usage patterns' suggests the tool returns more than just names. It does not fully distinguish itself from siblings like list_registries or list_subjects, so it is not a 5.

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 about when to use this tool instead of alternatives such as suggest_resource_for_tool, list_registries, or list_subjects. It neither states a use case nor names exclusions, so an agent must guess which list-related tool fits.

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

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

No annotations are provided, so the description carries the behavioral disclosure burden. The verb 'List' implies a read-only operation, and the backward-compatibility note adds useful context. However, it does not explain what the optional registry parameter does or whether the behavior changes when it is provided.

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 brief and front-loaded with the core purpose. The backward-compatibility note is concise and earns its place by providing actionable guidance.

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

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

For a simple listing tool the core purpose and preferred alternative are clear. The main gap is the undocumented 'registry' parameter, which could affect whether the agent calls the tool correctly or with an unnecessary or invalid argument.

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 mention the 'registry' parameter at all. An agent can infer only from the parameter name and default null that it is optional, but the description does not clarify whether it filters results or selects a specific registry.

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

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

The description uses a specific verb and resource: 'List all available schema contexts.' It clearly identifies what the tool does and distinguishes it from nearby siblings like create_context and count_contexts by focusing on listing existing contexts.

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 states this tool is maintained for backward compatibility and recommends the 'registry://{name}/contexts' resource instead for better performance. This gives the agent clear guidance on when to use this tool versus an alternative.

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

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

With no annotations, the description carries the full behavioral burden. It discloses that the tool lists all configured instances and that it is legacy/backward-compatibility-oriented with a performance tradeoff. It does not describe the response format, but for a zero-parameter listing tool this is a minor omission.

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. The main purpose is front-loaded, and the backward-compatibility note and resource recommendation are placed after the core statement.

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 zero parameters, no output schema, and a straightforward operation, the description is mostly complete. It names an alternative resource and gives a reason to prefer it, though it does not specify what the returned list contains beyond 'configured Schema Registry instances.'

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?

There are no parameters to document, so the baseline is 4. The description adds no parameter-specific detail, but none is needed here.

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 and resource: 'List all configured Schema Registry instances.' It is clear about what the tool does, but it does not explicitly differentiate itself from sibling tools like get_registry_info or list_subjects, so it relies on the phrase 'all configured' to imply the 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 explicitly says the tool is maintained for backward compatibility and recommends using the 'registry://names' resource instead for better performance. This gives clear guidance on when to use the tool versus the alternative, which is exactly what agents need.

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?

There are no annotations, so the description carries the full burden for behavioral disclosure. It communicates a read-only list operation and optional context filtering, but it does not explain the 'registry' parameter, return shape, or error/empty behavior. The deprecation note is helpful but does not cover these gaps.

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 no redundancy. The functional statement comes first, and the deprecation/alternative note is concise. Every sentence 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?

For a simple list tool with two optional parameters and no output schema, the description covers the core action and provides useful backward-compatibility context. However, it leaves the 'registry' parameter unexplained and gives no indication of the response shape, so it is not fully self-contained.

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

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

Schema description coverage is 0%, so the description must add meaning for both parameters. It only glosses 'context' as a filter; the 'registry' parameter is entirely unexplained. This is a significant gap for an agent trying 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 states a clear verb and resource: 'List all subjects' with an optional context filter. It does not explicitly differentiate from sibling tools, but the note points to an alternative resource, so the main purpose is unambiguous.

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

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

The description explicitly says the tool is maintained for backward compatibility and recommends using the 'registry://{name}/subjects' resource for better performance. This gives an agent a clear preference signal and explains when to choose the alternative.

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

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

No annotations exist, so the description carries the behavioral burden. It transparently states the exchange behavior (ping in, pong out) and the health-check purpose. It does not claim side effects or hidden behavior, which is appropriate for this trivial operation.

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 short, purposeful sentences. The first is a direct statement of behavior, and the second provides useful protocol context. 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 zero-parameter, no-output-schema health-check tool, the description is fully sufficient: it states what it does, how it behaves, and why callers use it. Nothing critical is missing.

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?

There are zero parameters and the schema already documents this fully. The description does not need to add parameter details, and adding any would be redundant.

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?

Names the exact action ('Respond to MCP ping requests with pong') and the resource/protocol involved. It is clearly distinct from all sibling registry-focused tools and adds standard-protocol context beyond simply restating the tool name.

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?

Explains that MCP proxies and clients use this to verify server aliveness. This gives a clear use context, though it does not explicitly discuss exclusions or alternatives because none are needed for a health-check ping.

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

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

No annotations are provided, so the description must disclose behavior, but it only restates the action. It gives no information about versioning semantics, whether existing versions are overwritten, registry/compatibility behavior, 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 a single economical sentence with no filler or repetition. While it is arguably too sparse for the tool's complexity, it is not verbose or poorly structured, and the core action 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?

With five parameters, a nested object, no output schema, and no annotations, a one-line description is far from complete. The agent has no way to know what parameters mean, how to assemble the request, or what the result of registration will be.

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 compensate by explaining any of the five parameters. Terms like subject, registry, schema_type, and schema_definition are left undefined, so the agent gains no meaning beyond the raw schema 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 uses a specific verb ('register') and resource ('new schema version'), which clearly identifies the core operation and distinguishes it from read-oriented siblings like get_schema and get_schema_versions. It does not, however, mention the target context or how registration relates to subjects, so it is clear but not fully differentiated.

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 register_schema instead of alternatives such as create_context, check_compatibility, or get_schema_versions. The description does not state prerequisites, conditions, or when registration is the appropriate action, leaving the agent without routing information.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not clarify whether this is a read-only lookup, how the suggestion is determined, what happens if no resource exists, or whether any side effects occur. 'Suggest' implies non-mutating behavior, but this is not explicit.

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 filler, and the main idea is front-loaded. However, it is so minimal that it lacks useful structure such as examples, clarifications, or relationship to sibling tools, making it more under-specified than elegantly concise.

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, no annotations, and a sparse one-sentence description, the tool is not fully specified. An agent cannot reliably know what kind of 'resource' is meant, what input format is expected, what response to anticipate, or how this differs from nearby resource-related tools.

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 only parameter, tool_name, has no schema description, and the description does not explicitly mention it. The phrase 'instead of a removed tool' weakly implies that tool_name should correspond to a removed tool's name, but the description adds no detail about accepted formats, history requirements, or how the tool name is used.

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 names a specific action ('suggest the appropriate resource') and a target context ('instead of a removed tool'), which makes the general purpose understandable. However, 'appropriate resource' is vague and does not distinguish this tool from related siblings such as generate_resource_templates or list_available_resources.

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 about when to use this tool versus alternatives, no examples, and no mention of prerequisites or expected input. The context 'instead of a removed tool' hints at one use case but does not explain how to identify such tools or what to do with the suggestion.

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

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

With no annotations, the description carries the burden of explaining behavior. 'Test connections' clearly implies a non-destructive diagnostic action, but it does not disclose what happens on failure, whether results are aggregated, or if there are any side effects. It is minimally transparent but leaves room for more detail.

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, front-loaded with the core purpose, and includes a useful compatibility note without unnecessary padding. Every sentence 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 zero-parameter schema and simple diagnostic purpose, the description is mostly complete. It communicates the action, scope, legacy status, and a faster alternative. It could be slightly more complete by describing expected output or failure behavior, but the tool is simple enough that the gaps are minor.

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

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

The tool has zero parameters and the schema is fully described at 100% coverage, so there are no parameter semantics to clarify. Baseline 4 applies because no parameter information is needed; the description's scope statement is sufficient.

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

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

The description uses a specific verb and resource: 'Test connections to all configured registries.' It clearly distinguishes itself from the singular sibling test_registry_connection by emphasizing the 'all configured' 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 explicitly notes the tool is maintained for backward compatibility and recommends the 'registry://status' resource instead for better performance. This gives clear alternative guidance, though it does not explicitly contrast with the test_registry_connection sibling.

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

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

With no annotations present, the description carries the full burden of behavioral disclosure. It reveals the tool is legacy and less performant than the resource, but it doesn't say whether the operation is read-only, what a failed connection looks like, or what 'testing a connection' entails. This leaves material behavioral ambiguity.

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

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

The description is compact: one sentence for the core function, plus a short compatibility note and a pointer to the preferred resource. Every sentence serves a purpose, and the most important caveat is front-loaded. No filler 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?

Given the absence of annotations, output schema, and any parameter documentation, the description is not sufficient on its own. It fails to mention return value/status semantics, registry parameter format, or error behavior. For a simple one-parameter tool, the gaps are still significant because there is no other documentation source.

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

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

The schema has 0% description coverage, and the tool description only says 'a specific registry.' It doesn't explain the accepted format for the 'registry' parameter, what a null value does, or how it maps to a registry identifier. The description adds little beyond the parameter name itself.

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 clear verb and resource: 'Test connection to a specific registry.' It distinguishes itself from the sibling tool 'test_all_registries' by explicitly targeting one registry. The reference to the 'registry://status/{name}' resource further reinforces the per-registry 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 explicitly warns that the tool is maintained only for backward compatibility and recommends using the 'registry://status/{name}' resource instead for better performance. This gives strong guidance against new usage, though it doesn't contrast with other siblings like 'ping' or 'get_registry_info'. Still, the main routing decision is made clear.

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