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

Annotations provide idempotentHint=true and destructiveHint=false, and the description adds context that the conversation array is needed for reproduction. It does not disclose broader behavioral traits like what happens after submission, but the bar is lower given annotations are present and there is no contradiction.

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 compact: two sentences, both essential. The first states the purpose, the second gives a specific usage instruction. No wasted words or redundancy.

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 low-complexity tool with no output schema, the description provides the core purpose and the most important parameter guidance. It omits details about return values or error handling, but the simplicity of the tool and presence of annotations make it sufficiently complete for an agent to 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?

With 0% schema description coverage, the description partially compensates by explaining the purpose of the 'conversation' parameter ('with recent messages for reproduction'). However, it leaves 'context' and 'message' semantics largely to inference from their names/defaults, so it does not fully cover all three parameters.

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 uses specific verbs 'Report' and 'send' with clear objects ('a bug, missing feature, or feedback'), expanding beyond the tool name. It clearly distinguishes itself from sibling tools such as show_version and marketplace by defining a broad feedback/reporting role.

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 gives an explicit usage instruction: include the conversation array with recent messages for reproduction. It sets clear context for when to use (reporting bugs, missing features, or feedback) and does not contradict any sibling tools, though it stops short of naming alternatives or exclusions.

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