Check Whether the Framework Does a Job

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds value by detailing output semantics: it returns statuses (not supported / partially supported / technically supported / validated end to end), supporting tests, and an explicit answer when not supported. This goes beyond annotations to set expectations about the response shape and edge-case 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 two-sentence description is dense with information, front-loading the core question and then detailing the output types. It is not overly verbose and conveys a lot in few words. A slight deduction for not being even more compact, but it remains appropriately sized for the complexity.

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?

For a read-only query tool with one required and one optional parameter, the description explains what the tool returns, including the status taxonomy and the explicit handling of unsupported jobs. It mentions tests as evidence, which provides completeness. There is no output schema to compensate for, so the description covers the essential aspects, though it could have mentioned pagination or limit behavior, which is minor.

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?

The schema documents 'query' fully, including an example, and 'limit' with constraints. Description coverage is 50%, and the description does not elaborate on parameters, but the schema already covers the main fields. The phrase 'against the CRM jobs-to-be-done index' adds retirement domain context to the query parameter. However, 'limit' remains semantically thin, and no new parameter information is provided in the description, so it neither helps nor hurts beyond the schema.

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 uses a specific verb ('Answer') and identifies a precise resource ('the CRM jobs-to-be-done index'). It clearly differentiates the tool by describing the query format ('can this framework do X?') and enumerates the kind of results (jobs with statuses, tests, explicit answer for unsupported). This distinguishes it from generic search or capability tools.

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 makes the intended use clear: answering capability questions about a framework against a CRM index. However, it does not explicitly mention when to use this over siblings like get_capability or search_docs, though the specialized index and status taxonomy imply a niche. It lacks explicit exclusions or alternative guidance but provides clear contextual usage.

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