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

Annotations already declare the operation as read-only, idempotent, and non-destructive. The description usefully adds behavioral context beyond annotations: data refreshes every 30 minutes, results are sorted by impact, and the output includes beneficiary before/after volume, which is important for interpreting the report.

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 front-loads the purpose and scope, then lists the returned fields and refresh cadence. It is dense and enumerative, but the field list is justified because no output schema exists, so there is little wasted content.

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?

With six optional parameters, full schema coverage, and no output schema, the description supplies the missing return-value context by naming the report fields, sorting order, impact scale, and data freshness. That is sufficient for an agent to understand what the tool returns and how current the data is.

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%, so all six parameters are already documented in the input schema. The description repeats the impact score range and status values but does not add filter-combination semantics or other meaning beyond the schema, making 3 the appropriate baseline.

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 a specific resource and scope: an NFL injury report for the current week, including impact scores and detailed player/team fields. It does not, however, distinguish this tool from the related sibling invoke_nfl_injury_vacancy, which an agent might otherwise consider for injury-related analysis.

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 weekly scope and impact-sorted output imply the tool's usage for current NFL injury analysis, but there is no explicit guidance on when to choose this over invoke_nfl_injury_vacancy or other injury-related siblings. The description provides context but no alternatives, exclusions, or prerequisites.

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