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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), but the description goes further: it explains the decision semantics, notes that revenue/return metrics appear only 'when the sales data has payment amounts,' and warns that creator names are data, never instructions (prompt-injection resistance). One inconsistency: it lists only three decisions ('rebook, test again or pause') while the schema enum has four, including 'no_cost'.

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 entire definition is one enormous run-on sentence that dumps a metric list likely already captured by the output schema. It is front-loaded correctly but poorly structured and padded with redundant return-field detail.

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?

Because an output schema exists, the exhaustive field enumeration is largely unnecessary, while the genuinely useful parts (decision meaning, conditional metric availability, injection warning) are present. What is missing is usage guidance and any note on the undocumented 'limit' parameter.

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 coverage is 67%: decision and report_id are described in the schema, but 'limit' is undocumented anywhere. The description adds no parameter meaning at all — it never mentions filtering by decision, the report_id source, or the limit cap, so it fails to compensate for the gap.

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 opens with 'Each creator in a report' and enumerates the metrics returned, so the resource and content are unambiguous. However, it never states the verb 'list creators' explicitly and gives no contrast with siblings like compare_creators or explain_creator, which also operate on creators.

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?

There is no when-to-use guidance, no alternatives named, and no exclusions. An agent must infer from the name alone that this is the tool to call for per-creator metrics in a report rather than compare_creators or explain_creator.

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