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burden of behavioral disclosure, and it does a strong job: it explains the canonical answer rule, the special STALE/SUPERSEDED/INDETERMINATE cases producing INSUFFICIENT_EVIDENCE, and that such answers carry no rank. It also hints at the kinds of evidence included (intervals, costs, conflicts, limits), though it leaves some details about the exact return shape implicit.

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 two dense sentences with no filler. It front-loads the core purpose and rule, then adds the important edge-case behavior and a useful CLI equivalence. Every clause contributes meaningful information.

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 simple one-parameter tool with no output schema or annotations, the description is reasonably complete: it explains the answer rule, the insufficient-evidence condition, and the absence of rank. It could be more explicit about the exact response structure and when to prefer sibling tools, but the core calling context is well covered.

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 description coverage is 100%, with the category parameter already documented via an example and a pointer to list_categories. The description adds no parameter-specific guidance beyond saying 'for one category', so the 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 that the tool 'Answers for one category' and specifies the exact canonical answer behavior, including the special INSUFFICIENT_EVIDENCE outcome. It is specific about the resource (a category) and the output semantics, but it does not explicitly differentiate this tool from its siblings such as explain_limits or get_run.

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 gives no explicit guidance about when to use this tool versus the sibling tools, and does not name alternatives or exclusion conditions. The only implicit context is that it answers 'for one category', and the parameter schema mentions list_categories, but the description itself does not help the agent choose among the available tools.

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