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

Annotations indicate the tool is idempotent and not destructive, but the description adds no context about side effects, auth requirements, or rate limits. The write nature is implied but not detailed, and no mention of what happens after reporting (e.g., ticket creation) is provided.

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 two sentences, front-loaded with the purpose, and no redundant information. It is concise, direct, and well-structured for quick comprehension.

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?

Given the low complexity and no output schema, the description covers purpose and one parameter but lacks details on expected behavior, output, or error handling. It is sufficient for a basic understanding but not fully 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 provides no descriptions, so the description must explain parameters. It only explains 'conversation' as for reproduction; 'message' (the required one) and 'context' are undefined. This leaves the most important parameter unclear.

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: reporting bugs, missing features, or sending feedback. It distinguishes from sibling tools which are unrelated (authenticate, connect, marketplace, etc.), making the purpose unambiguous.

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 explicitly mentions when to use: for bug reports, feature requests, or feedback. It also instructs to include the conversation array for reproduction, providing practical usage guidance. However, it does not mention any alternatives or when not to use, though this is less critical given the tool's specificity.

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