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

Annotations already provide idempotentHint=true, readOnlyHint=false, and destructiveHint=false. The description adds a behavioral detail beyond annotations by specifying that the conversation array should be included 'for reproduction,' implying the tool will use that data to understand the issue. However, it does not disclose other behaviors like whether a confirmation is returned or how the report is processed, so there is moderate added value.

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, clear sentence followed by a practical instruction. It is concise and front-loaded with the primary action, wasting no words. Every part is essential for understanding the tool's purpose and a key usage 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?

For a simple feedback/report tool with three parameters and no output schema, the description covers the core functionality and provides a key usage hint (conversation array). It could mention what happens after reporting, but it is reasonably complete for the tool's simplicity and the annotations fill in safety metadata (idempotent, non-destructive).

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?

The schema has 0% description coverage, so the description carries the burden of explaining parameters. It explicitly explains the 'conversation' parameter ('Include the conversation array with recent messages') and implies 'message' is the content of the report. However, the 'context' parameter is not explained, and the description doesn't mention parameter types or defaults beyond what the schema already shows. This is partial compensation for the schema 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 clearly states the tool's function: 'Report a bug, missing feature, or send feedback.' It uses a specific verb ('report'/'send') and resource ('bug', 'missing feature', 'feedback'). It is obviously distinct from sibling tools, which focus on authentication, connection, marketplace, legal consultation, version, and toolkit info, so no confusion arises.

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 provides clear context for when to use the tool: when there is a bug, missing feature, or feedback to send. It does not explicitly mention alternatives or exclusions, but since none of the sibling tools are similar, the intended usage is unambiguous. The instruction to include the conversation array also gives practical guidance on how to use it effectively.

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