ingest_spec

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

No annotations provided, so the description is the sole source of behavioral info. It mentions automatic analysis and suggestion of env variables, which is useful. However, it does not disclose potential failures (e.g., invalid file format), side effects, or whether the spec is stored permanently. The description is adequate but not thorough.

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

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

Two concise sentences: the first states the main action and resource, the second adds a key behavior. No unnecessary words, front-loads the core purpose. Ideal length for a tool description.

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

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

Despite having an output schema, the description omits important context such as file path requirements, supported formats beyond the name drop, and the relationship to other tools (e.g., ingesting before running tests). For a complex operation like file ingestion, more context is needed to avoid misuse.

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 mentions 'OpenAPI/Swagger or Postman collection' which relates to spec_type, but does not clarify the other three parameters (file_path, preferred_language, preferred_framework) or their defaults. The description adds some context but insufficiently maps to the schema, especially for a tool with 4 hidden parameters.

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

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

The description clearly states the verb 'Ingest' and the resource 'API specification (OpenAPI/Swagger or Postman collection)'. It also specifies the source 'from a file' and an additional behavior 'automatically analyzes and suggests required environment variables'. This distinguishes it from siblings like run_api_tests or set_env_vars, which serve different purposes.

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

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

No explicit guidance on when to use this tool versus alternatives. The description implies it is for ingesting API specs, but does not specify prerequisites (e.g., file existence) or order of operations relative to sibling tools like run_api_tests or set_env_vars. The context is clear but incomplete for an AI agent.

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