cohere_generate

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only mentions 'generate text completions' but gives no details about rate limits, cost, token limits, or whether the action is safe or destructive.

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 sentence, making it concise and front-loaded with the primary purpose. However, it could benefit from additional structure, such as usage notes or links to documentation.

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 presence of six parameters, no output schema, and similar sibling tools, the description is too minimal. It fails to explain how parameters interact, what output to expect, or how to handle possible errors, leaving significant gaps for the 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?

Only 33% of parameters have descriptions in the schema. The description does not add extra meaning for parameters like 'api_key', 'prompt', 'max_tokens', or 'temperature', leaving the agent without crucial context for proper usage.

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 'Generate', the resource 'text completions', and the model family 'Cohere Command'. It effectively distinguishes from sibling tools like cohere_chat (chat completions) and cohere_classify (classification).

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 is provided on when to use this tool versus alternatives. For example, it does not clarify the difference between cohere_generate and cohere_chat, nor does it mention prerequisites or ideal use cases.

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