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

With no annotations, the description carries the burden of behavioral disclosure and adds useful context: the two orders differ and the gap between ranks is meaningful. However, it does not mention return format, pagination, limits, or whether the operation is safe/read-only, though the leaderboard framing implies a read operation.

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 compact and front-loaded with the core concept in two sentences. The 'INFLUENCE' branding and the interpretive 'usually the story' add marginal flavor, but the text is largely efficient with no redundant filler.

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 tool with five parameters and no output schema, the description gives a solid conceptual summary of what the results represent, including the dual axes and the gap insight. It still omits parameter semantics, pagination behavior, and concrete response fields, leaving an agent with only partial certainty about execution.

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 only 20%, with only the context parameter documented. The description refers to a 'market' but does not explain how kind and slug identify that market, nor what page, limit, or the response shape will be. It therefore fails to compensate for the schema's low coverage.

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 identifies the resource as a market leaderboard and names two specific ranking axes: Kin Score composite and agent readiness. It does not explicitly differentiate from sibling tools such as cohort_scores or get_industry_leaders, so the distinction is left partly to inference.

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 explicit guidance is given about when to use this tool versus alternatives like cohort_scores, cohort_stats, or the various *_leaders tools. The phrase 'the gap between a provider's two ranks is usually the story' hints at an interpretation but does not state selection criteria or exclusions.

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