generate_full_spec

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

With no annotations provided, the description fully covers behavioral traits including side effects (read-only), authentication, rate limits, error handling, idempotency, and data privacy. This is comprehensive and exceeds typical expectations.

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 well-structured into sections but is verbose. It repeats information (e.g., behavioral details in two places) and includes redundant lists that mirror the schema. Could be more concise without losing clarity.

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

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

The description covers overall purpose, input format, and behavioral traits. However, it lacks details on the output format (JSON? YAML?) and how required parameters (title, description) contribute to the spec. The tool's documentation is adequate but has clear gaps.

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

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

Schema description coverage is 0%, so the description must compensate. However, parameter descriptions are generic and tautological (e.g., 'The title to analyze or process'). Only endpoints_json receives meaningful context in the opening paragraph. Most parameters lack specific guidance on expected values or formats.

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

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

The description clearly states it generates a complete OpenAPI 3.0 spec and specifies the input format (endpoints_json as JSON array). It is distinct from siblings like generate_endpoint, generate_schema, add_auth_to_spec, and validate_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?

The description includes explicit 'When to use' and 'When NOT to use' sections, guiding the agent on appropriate contexts. However, it does not directly compare to sibling tools or provide specific exclusions for when to use alternatives.

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