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

Annotations already declare idempotentHint=true and destructiveHint=false, covering key safety aspects. The description adds context that the conversation parameter aids reproduction, which is a useful behavioral detail. However, it does not disclose what happens after reporting (e.g., whether a ticket is created, if confirmation is returned), leaving some ambiguity. This matches a mid-range score where annotations reduce the burden but additional context is still limited.

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 two-sentence, front-loaded statement: first states the action, then the key usage instruction. Every word serves a purpose, with no redundancies or filler. It is an ideal length for the tool's simplicity.

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?

Despite its brevity, the description effectively covers the core action and a crucial usage detail (conversation array). Given the tool's simple nature, no output schema, and annotations covering idempotency/destructiveness, it is nearly complete. It could be improved by mentioning expected result or response, but overall it meets the needs for an agent to correctly invoke the tool.

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 0%, so the description must compensate. It explicitly explains the conversation parameter's purpose ('with recent messages for reproduction'), but does not clarify the 'message' or 'context' parameters. 'Message' is self-explanatory, but 'context' remains vague. The description provides partial compensation, earning a middle score.

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 opens with a specific verb phrase 'Report a bug, missing feature, or send feedback' and clearly identifies the tool's resource (bug/feature/feedback). It distinguishes itself from unrelated siblings like authenticate and show_version by outlining an unambiguous purpose.

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 clear guidance on how to use the tool, specifically instructing to 'Include the conversation array with recent messages for reproduction.' While it does not explicitly mention alternatives, no sibling tool serves the same feedback-reporting function, so the context is clear. It lacks an explicit 'when not to use' but this is a minor gap.

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