Swagger Testcase MCP

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 mentions that the tool returns detailed info, but doesn't specify whether this is a read-only operation, if it requires authentication, potential rate limits, or error handling. For a tool with 5 parameters and no annotations, this leaves significant 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 a single, efficient sentence that front-loads the core purpose and lists return values. Every word earns its place, though it could be slightly more structured (e.g., separating purpose from output). No wasted words or redundancy.

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

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

Given the complexity (5 parameters, no output schema, no annotations), the description is incomplete. It doesn't address authentication needs, error cases, or how this tool fits with siblings like 'fetch_swagger'. For a tool that likely interacts with external specs and returns detailed data, more context is needed.

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%, meaning all parameters are documented in the schema. The description doesn't add any parameter-specific details beyond what's in the schema (e.g., it doesn't explain how 'source' relates to 'fetch_swagger' or format requirements). Baseline 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the tool's purpose: analyzing a specific endpoint from a loaded Swagger spec. It specifies the verb 'analyze' and the resource 'endpoint', and mentions what information is returned (parameters, request body, responses, security). However, it doesn't explicitly differentiate this tool from its siblings like 'validate_spec' or 'compare_specs', which prevents a perfect score.

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 doesn't mention prerequisites (e.g., needing a loaded spec first), nor does it compare with siblings like 'validate_spec' for validation or 'generate_test_cases' for test generation. The agent must infer usage from the description alone, which is insufficient.

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