prepare_api_call

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

With no annotations, the description must disclose behavioral traits. It only states what it builds, not side effects (e.g., if it modifies state), prerequisites (e.g., cache populated), or error handling (e.g., missing slug). The lack of transparency for a potentially stateful operation is a gap.

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, well-structured sentence that conveys the core functionality efficiently. It is front-loaded with the action verb 'Build' and the key inputs. Minor improvement would be to clarify 'cached docs'.

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 no output schema, the description does not explain what the tool returns or its format. For a tool that prepares data for further use, this is a significant gap. Also, the nested path_params object lacks guidance on how to structure 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 100%, providing clear descriptions and examples for both parameters. The description adds no additional semantic value beyond the schema, so baseline score of 3 is appropriate.

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 builds method, path, auth mode, and example body from cached docs using a slug. This distinguishes it from siblings like get_api_endpoint_doc (retrieval) and call_mailganer_api (execution). However, it could be more explicit about the output format.

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. For example, it doesn't mention that this should be used before calling call_mailganer_api, or that it requires a slug from a prior search. Usage context is entirely implicit.

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