rank_league_maturity

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

No annotations are provided, so the description must bear full weight. It only states the tool's function and output, without disclosing side effects, permission requirements, or whether it is read-only. This is insufficient for behavioral transparency.

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 extremely concise—three sentences that are front-loaded with the primary action and output. Every sentence adds value, with no wasted words.

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?

The description explains the tool's purpose and outputs, but given the complexity (4 required parameters, many sibling tools) and lack of annotations, it lacks contextual details such as prerequisites, edge cases, or when to prefer this tool over similar ones. The presence of an output schema mitigates the need to explain 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?

Input schema covers 100% of parameters with descriptions. The tool description adds minimal semantic value beyond the schema, merely referring to 'key league metrics'. A score of 3 is appropriate given the high schema 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 states it ranks a league's maturity and production readiness, listing specific output metrics (score, grade, etc.). However, it does not explicitly differentiate from sibling tools like 'assess_league_readiness' or 'evaluate_league', which may have overlapping purposes.

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 includes a usage hint ('Useful for prioritizing which leagues to onboard first'), but lacks explicit guidance on when to use this tool versus alternatives, and does not provide when-not or exclusion criteria.

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