completion

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 'legacy endpoint' but gives no details on side effects, rate limits, authentication, response format, or deprecation warnings. This is a thin behavioral picture.

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, focused sentence that conveys the core purpose and context. Every word earns its place, with no redundancy or rambling.

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 lack of annotations and output schema, the description is somewhat under-specified for a 5-parameter tool. It does say 'generate text completions', which implies a text response, but does not address streaming, error handling, or legacy-specific caveats. Still, the schema is thorough, so the overall context is adequate for a simple generation tool.

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 baseline is 3. The description adds no parameter-specific insight beyond what the schema already documents; it only provides the tool-level 'legacy' context, which does not materially enhance parameter understanding.

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 generates text completions and notes it is a legacy endpoint using LiteLLM, which is a specific verb+resource. It distinguishes itself from chat_completion by signaling 'legacy', but does not name the sibling alternative 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 subtly implies usage is for legacy completion scenarios, but provides no explicit guidance on when to use this versus chat_completion or other alternatives. There is no exclusions or when-not-to-use information.

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