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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed world, so the safety profile is covered. The description adds genuine context the annotations cannot: the answer is expressed in plain language from the report's own numbers and includes remediation guidance. It omits failure behavior for an unknown or stale creator name.

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?

Two sentences, no filler, with the purpose front-loaded and the input constraint second. Dense but readable; the mid-sentence clause chain (", in plain language and from the report's own numbers, and what would sharpen it") is slightly packed but each element carries meaning.

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 an output schema present, return values need no explanation, and annotations cover the safety profile. The description is complete for selecting and invoking the tool; the only real gap is behavior on a creator name that does not match list_creators output.

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 100%, so both parameters are already documented in the schema. The description only restates the exact-name requirement ("character for character") and adds nothing about the report_id default or the id format, so the baseline 3 applies.

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?

States a specific action on a specific resource: explaining why one creator received a decision, in plain language grounded in the report's own numbers. It also signals an advisory output ("what would sharpen it"), which cleanly separates it from compare_creators and check_fit, though it never names those siblings.

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 tells the agent where the creator argument comes from (list_creators) and implicitly that report_id is optional via the schema. It does not say when to reach for this tool versus compare_creators or check_fit, so routing between the decision-explanation siblings is left to inference.

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