llm_add_key

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

Annotations are absent, so the description must provide behavioral details. It only states 'add or update' without explaining side effects (e.g., overwriting existing keys), required permissions, or error handling.

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, concise sentence but lacks essential details. It is not overly verbose, yet it under-delivers on information value for the number of parameters.

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?

With 4 parameters, no output schema, and no annotations, the description is insufficient for correct tool invocation. It does not cover parameter semantics, usage context, or return values.

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 0%, meaning the description adds no meaning to the 4 parameters. It does not explain provider, key, base_url, or model, leaving the agent without guidance on required inputs.

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 'Add or update an LLM API key', specifying the verb (add/update) and resource (LLM API key). It distinguishes from sibling tools like llm_remove_key (removes) and llm_list_providers (lists).

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 on when to use this tool versus alternatives like llm_test_key or llm_remove_key. No context about prerequisites or when to choose add vs update.

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