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

Beyond the annotations, the description discloses the downstream effect (a case is created and routed to the right person), the side effects (case number plus confirmation email to the supplied address), the legal consequence of agrees_to_terms including phone/SMS consent with STOP opt-out, and the response shape including failure reasons. That is exactly the consent and consequence context annotations cannot convey.

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 opening sentence and consent sentence are dense and worth their space, and required/optional facts are front-loaded. However, the long recital of issue categories duplicates the category and issue_type enums almost verbatim, which pads the definition without adding routing information.

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 15-parameter write tool with no output schema, the definition covers required inputs, consent, side effects, and the response (case number or failure reason). What is missing is repeat-submission behavior and any rate/duplicate guidance, which matters given idempotentHint=false.

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 every parameter is already documented, and the description's required/optional enumeration largely restates that. It does add a little meaning by tying agrees_to_terms to the actual Terms/Privacy URLs and to phone contact consent, but the rest of the parameters gain nothing beyond the schema's own text.

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 names a specific verb and resource (sends a report or request to Moda's team) and anchors it to a concrete equivalent (the form at modacommunities.com/report). It enumerates the exact classes of issues accepted, which makes it unmistakable against siblings like search_moda_help or check_moda_contact.

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 list of supported report types (scam, deal dispute, conduct, access, declined post, billing, general question) gives a clear picture of what belongs here. It never states when NOT to use it or points to an alternative sibling, so routing to search_moda_help for a simple how-to question 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.