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

With no annotations, the description carries the full burden. It does disclose one genuinely useful trait — no fetching occurs — but says nothing about duplicate-name handling, what 'overwrite' actually replaces, persistence location, or permission/validation behavior for a write 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 sentences with zero waste, and the key behavioral caveat ('does not fetch the document') is front-loaded rather than buried.

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 is a mutating tool with 3 required params, no annotations, and no output schema, yet the description omits what happens on a name collision, how it interacts with 'overwrite', and what state it leaves behind. For a registration/mutation tool the description is too thin.

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 75%, so the schema documents url, service, and workspace adequately. The description adds no parameter meaning and leaves the undocumented 'overwrite' flag (the one parameter that determines mutation semantics) unexplained in either place.

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 gives a specific verb and resource ('Add a named Swagger/OpenAPI source') and the second sentence differentiates it from fetch-oriented siblings like refresh_service. It is clear what the tool registers, though it doesn't name any sibling explicitly.

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?

Usage is only implied: you add a source here and presumably fetch it elsewhere. The phrase 'does not fetch the document' gestures at the refresh_service boundary without stating when to use one vs the other, and no prerequisites or ordering (e.g., after init_project) are given.

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

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

No annotations exist, so the description carries the full burden. It implies a read-only generation step and hints at a cache dependency ('cached operation'), but does not say what happens when the operation is not cached, whether it writes files, or whether it requires a prior refresh_service call.

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?

A single, well-formed sentence with the action front-loaded and the output variants listed inline. Nothing is wasted, but there is also no second sentence to add the missing routing or prerequisite 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?

With 7 parameters, no annotations, and no output schema, the description is too thin: it does not explain the shape of the returned code string, how the operation is identified (operationId vs path/method), or that a service must be cached first. An agent would have to guess at the call sequence.

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 only 29%: just baseUrl and workspace are documented in the schema, while path, method, service, and operationId are bare. The description only mirrors the format enum (curl/axios/fetch) and explains nothing about how path/method/operationId select the operation or how they interact.

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 (generate) and resource (request code) plus the three output formats, which distinguishes it from read-oriented siblings like get_operation and get_schema. It is clear but does not name which sibling it replaces or complements, nor what 'cached operation' refers to.

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 when-to-use guidance: nothing says to call this after list_services/refresh_service, nothing says it requires a previously cached spec, and no alternative (e.g. get_operation) is referenced. The one contextual hint is the phrase 'cached operation', which is not elaborated.

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. The word 'cached' usefully signals that results may be stale or locally sourced, but nothing is said about missing operations, required permissions, refresh behavior, or return shape for a 5-parameter read tool.

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

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

A single front-loaded sentence with no filler; the core action and both addressing modes are presented immediately.

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 5-parameter tool with no annotations, no output schema, and 80% undocumented parameters, the description leaves too much unspecified. An agent still lacks the meaning of 'service', the response format, and error behavior when the operation is absent from the cache.

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 only 20% (just 'workspace'), so the description must compensate. It clarifies the operationId-vs-(method,path) alternative and establishes that these are alternate lookup keys rather than co-required, which is genuinely additive, but it says nothing about 'service' or how the two keys interact if both are supplied.

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 ('Read'), a bounded resource ('one cached operation'), and the two lookup keys available. It is clearly distinguishable from the sibling search_operations, which implies a many-result lookup, though it never names that sibling explicitly.

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 hints at two valid invocation modes (by operationId, or by method and path) but gives no guidance on when to prefer this over search_operations, get_schema, or generate_request_example, and no prerequisites or exclusions are stated.

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. 'Read' weakly implies a safe read-only operation and 'cached' hints the data may be stale (refreshed via refresh_service), but it omits error behavior for missing schemas, staleness guarantees, and what 'resolve' does with $refs.

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?

A single efficient sentence with the key verb and resource front-loaded and zero filler. It is appropriately sized, though the brevity contributes to the gaps elsewhere rather than being a strength in itself.

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 required parameters, no annotations, no output schema, and low schema coverage, the description is too thin. An agent cannot tell how to supply 'name'/'service' identifiers or what happens on failure, leaving it under-equipped to invoke 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?

Only 33% schema description coverage, and the description adds no parameter meaning at all — it never explains what 'name', 'service', or 'workspace' should contain. With two of three required parameters undocumented in both schema and description, the description fails to compensate for the coverage gap.

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

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

The description names a specific verb pair (read/resolve) and a specific resource (one schema from a cached Swagger/OpenAPI document), which is more precise than a generic 'get'. However, it does not distinguish itself from siblings like get_operation or search_operations that also read from the same cached spec.

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 statement of when to use this tool versus get_operation, search_operations, or generate_request_example. The phrase 'resolve one schema' implies retrieval of a schema definition, but no conditions, prerequisites, or alternatives are given.

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

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

No annotations are provided, so the description carries the full disclosure burden. It does name the concrete side effects (creating a config file and a cache directory), which is meaningful behavioral detail. However, it is silent on critical traits: whether it overwrites an existing config, whether it is idempotent, whether it fails when the directory already exists, and what permissions it 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?

A single sentence with no filler that front-loads the created artifacts and ends with the target location. Every clause 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 one-parameter setup tool with no annotations, no output schema, and full schema coverage, the description is adequate for the mechanical action. It is incomplete on the behavioral questions that matter for an initializer (idempotency, overwrite semantics, failure modes), leaving the agent to guess about re-running it.

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 100%, so the single 'workspace' parameter is already fully documented as an absolute path owning .swagger-mcp. The description only echoes this ('in the requested workspace') and adds no format or validation nuance beyond the schema, so the baseline 3 applies.

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 verb (Create) and the exact artifacts produced (.swagger-mcp/config.json and a cache directory) in the workspace. This is specific enough to distinguish it from the service/operation-management siblings, none of which perform setup. It falls just short of a 5 because it doesn't frame the tool's role in the overall workflow (e.g., first-run bootstrap).

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 invoke this tool, no prerequisite or ordering information (e.g., 'run before add_service'), and no statement about when it should not be used. The agent must infer that this is a one-time setup step 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?

With no annotations, the description carries the full burden, and it does disclose one meaningful behavioral trait: it performs no remote fetch, so results reflect local state only. It stops short of stating whether it touches disk/network at all, permission requirements, or any 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?

Two short sentences, front-loaded with what is listed and followed by the key constraint. 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 one-parameter read tool with no output schema and no annotations, the description conveys what is returned (services and cache state) and the crucial no-fetch constraint. It is largely complete, though it could note prerequisites such as the workspace needing prior initialization.

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 100% for the single workspace parameter, so the schema already documents its meaning fully. The description adds no additional parameter semantics beyond what the schema provides, making 3 the correct baseline.

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: listing configured Swagger services plus local cache state. The clause 'never fetches remote documents' implicitly distinguishes it from the refresh_service / refresh_all_services siblings, though it does not name them directly.

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?

Usage is implied by the read-only listing framing and the no-fetch boundary, which suggests it is the tool to call when inspecting configuration rather than updating it. However, no explicit when-to-use conditions or named alternatives are given.

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

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

With no annotations, the description carries the full behavioral burden. It hints at network activity ('the only bulk network operation') but says nothing about permission requirements, rate limits, latency/cost of a bulk call, failure semantics, or whether refreshing is idempotent or mutates remote state.

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

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

Two short sentences, front-loaded with the action and scope. The second sentence adds a distinguishing trait but is terse enough that nothing is wasted.

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 single-parameter refresh tool with no output schema, the description covers what it does but omits behavioral specifics an agent would want before triggering a bulk network operation, especially given the absence of 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?

Only one parameter (workspace) exists and schema description coverage is 100%, so the schema already explains it. The description adds no meaning about the workspace parameter, which is the baseline expectation when schema coverage is complete.

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 ('refresh') and scope ('every configured service'), which distinguishes it from the singular sibling refresh_service by scope. However, it never names refresh_service explicitly, so the differentiation is by implication rather than direct routing.

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?

Usage is implied: refresh all services in one call rather than individually. There is no explicit statement of when to prefer this over calling refresh_service repeatedly, no prerequisites, and no when-not 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. It usefully discloses that only the single service's local cache is overwritten (blast radius) and that a remote fetch occurs (network dependency). It omits failure behavior if the fetch fails, whether the old cache is preserved, and any auth requirements.

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

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

A single tight sentence with the resource and scoping constraint front-loaded and no filler. Appropriately sized for a simple refresh action.

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

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

For a two-parameter mutation with no annotations and no output schema, the description conveys core behavior and cache scoping. It stops short of covering failure semantics, cache invalidation details, or the form of the 'service' argument, leaving some gaps for an 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 only 50%: 'workspace' is described in the schema, but 'service' is undocumented in both the schema and the description. The phrase 'one remote Swagger/OpenAPI JSON document' loosely implies service selection but gives no identifier format, so the description does not compensate for the coverage gap.

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

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

States a specific verb and resource: fetch one remote Swagger/OpenAPI JSON document and overwrite its local cache. The word 'one' implicitly separates it from the refresh_all_services sibling, though that sibling is never named. Clear without opening the schema, but the differentiation is only implied.

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 fetch' hints this is a manual/on-demand refresh rather than an automatic one, implying usage when the cached spec is stale. However, no when-to-use condition, prerequisites, or named alternative (e.g., refresh_all_services) is given, so the routing to siblings is left 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, the description carries the full behavioral burden, and it does disclose one real trait: the cached document survives the removal. That is meaningful beyond the name. However, it omits whether the config file is rewritten, whether removal is reversible, what happens if the service does not exist, and whether confirmation or elevated permissions are 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?

Two short sentences, zero filler, with the destructive action stated first and the preservation caveat immediately after. Front-loaded and 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 mutation tool with no annotations and no output schema, the description is minimal but not empty: it tells the agent what is removed and what is kept. It still lacks error behavior, idempotency, and confirmation semantics, which an agent invoking a removal would benefit from.

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 only 50%: workspace is documented in the schema, but service is a bare string. The description adds no meaning for either parameter, so the undocumented 'service' argument is left entirely to inference (name? id? path?). It does not compensate for the coverage gap.

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

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

States a specific verb and resource: 'Remove a service from config.' An agent can distinguish it from add_service and update_service by the verb alone. It stops short of naming how it differs from sibling mutations like refresh_service, but the core 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?

No guidance on when to use this versus update_service (which may also drop entries) or how it relates to refresh_service. There are no prerequisites, no exclusions, and no named alternative. The agent must infer usage purely from the verb.

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, and it does disclose one meaningful trait: this is a local-cache-only search that will not go to the network. However, it says nothing about read-only semantics explicitly, pagination behavior, result limits, or what happens on a cache miss.

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, zero filler, with the scoping constraint front-loaded. Every clause 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 6-parameter tool with no annotations and no output schema, the description is too thin: it omits result format, how parameters interact, and the stale-cache scenario an agent will hit in practice.

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 only 33%, so half the parameters (keyword, tag, limit, service) are undocumented in both schema and description. The description adds no meaning about how keyword/tag/method combine or how limit applies, so it fails to compensate for the coverage gap.

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

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

The description states a specific verb and resource - 'Search operations' - and scopes it to the local cached document. It doesn't name sibling tools like get_operation or refresh_service explicitly, but the 'local cached' qualifier implicitly separates it from the refresh tools that fetch remote data.

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 claim that it never fetches remote Swagger implies the agent should use a refresh tool if the cache is stale, but this is left to inference rather than stated. There is no explicit when-to-use or alternatives guidance relative to get_operation or the service-management 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?

With no annotations, the description carries the full burden. It does disclose one meaningful behavioral trait: that updating the URL does not trigger a fetch/re-download of the document, which distinguishes it from refresh_service. However, it omits whether permissions are required, whether the change is reversible, and what happens to previously loaded operations.

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-loading the core action followed by the key caveat. No filler text, though the second sentence is terse to the point of being slightly cryptic.

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 3-parameter mutation tool with no annotations, no output schema, and only 33% parameter coverage, the description is thin. It leaves unaddressed what happens to the existing URL/operations, permission requirements, and any return behavior.

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 only 33%: workspace is documented inline, but url and service have no descriptions. The description adds no meaning to any parameter (e.g., URL format, whether it must be absolute, or what 'service' identifies), so it fails to compensate for the schema gap.

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

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

States a specific verb and resource (update a service URL), which is clear against siblings like add_service and remove_service. The second sentence implicitly distinguishes it from refresh_service by clarifying that it does not fetch the document, giving useful sibling differentiation, though it could name refresh_service explicitly.

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 'It does not fetch the document' implies you should use refresh_service when you want the spec fetched, but this is left to inference rather than stated. No explicit when-to-use or prerequisites are given.

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