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

Annotations already cover the basic safety profile: not read-only, idempotent, not destructive. The description adds the valuable detail that the conversation history should be included to reproduce the reported issue, and implies a submission is sent. However, it does not reveal what occurs after submission, how the report will be used, or whether the idempotentHint means duplicate submissions are deduplicated. This is acceptable but not comprehensive.

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 only two sentences, with the first sentence immediately stating the purpose and target users, and the second sentence providing the most important usage hint. No filler, no redundancy, and the wording is compact while carrying necessary 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 simple feedback tool with three fields and no output schema, the description provides the main purpose and one key parameter—the conversation—which is enough to use the tool minimally. However, it does not mention what happens after a report is submitted (e.g., confirmation, ticket handling), and it leaves the intended meaning of 'message' and 'context' implicit. The lack of output schema makes these omissions more noticeable, so the description is merely adequate, not complete.

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 for the parameter meaning. It explains the 'conversation' parameter as a conversation array, but the schema type is string with a default of '[]', so the description actually suggests an array type while the schema expects a JSON string. It does not describe the required 'message' parameter or the optional 'context' parameter. This leaves significant ambiguity for the agent.

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 identifies the action with the verb 'Report' and lists concrete targets: 'a bug, missing feature, or send feedback.' It is specific enough to distinguish this tool from its siblings such as market_info, authenticate, or show_version, but it does not explicitly contrast itself with nearby alternatives. It could slightly benefit from stating that it is the feedback/reporting channel.

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 implicitly outlines usage contexts: use this when a bug is found, when a feature is missing, or when feedback is needed. It also adds a concrete usage requirement ('Include the conversation array with recent messages for reproduction'). There is no explicit statement about when not to use it or which sibling to use in place of it, but none of the siblings appear to be competing report tools, so the context is clear.

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