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

No annotations are provided, so the description carries the full burden. It discloses that feedback is reviewed and data-quality reports are fixed with priority, and that submitting feedback improves results on subsequent calls. However, it doesn't describe potential side effects like rate limits or response format, which is acceptable but not fully transparent.

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 a single paragraph that efficiently conveys purpose, use cases, and matches. It could be slightly more structured but is clear and free of unnecessary 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?

For a simple feedback submission tool with 3 parameters (1 required) and no output schema, the description provides sufficient context about when and why to use it, including the impact on future results. It is complete enough for an agent to select and invoke correctly.

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 parameters are already well-documented in the schema. The description adds context about the purpose of feedback but does not elaborate on parameter details beyond what the schema provides. Baseline score of 3 is appropriate.

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's a free endpoint for reporting feedback about the API, listing specific examples such as wrong data, endpoint failures, pricing issues, and providing keyword matches. This distinguishes it from sibling tools which are primarily data retrieval or analysis tools.

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 explicitly states it's free and suitable for reporting any API-related issues, with a list of matches that help identify when to use this tool. However, it does not explicitly state when not to use it, though the context makes it clear.

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