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

Annotations already mark the operation as non-read-only, idempotent, and non-destructive, so the safety profile is known. The description adds that the tool can 'send' feedback and use the conversation array for 'reproduction,' revealing an external or internal transmission aspect. Still, it does not detail side effects, who receives the report, privacy, or rate limits, so it provides only a moderate level of behavioral context.

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 consists of two concise sentences with no fluff. It front-loads the action ('Report a bug, missing feature, or send feedback') and immediately adds the most important usage detail (include the conversation array). Every sentence earns its place, making this efficient and easy to parse.

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?

The tool is moderately complex with 3 parameters and no output schema. The description covers the core purpose and highlights the key reproduction ingredient, but it neglects to clarify the required 'message' parameter and the optional 'context' parameter. For a simple bug-report tool, this is workable but leaves obvious semantic gaps.

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 is the only source for parameter meaning. It explicitly comments on the conversation parameter but calls it an 'array' while the schema declares it as a string (likely a JSON-encoded array), which is misleading. It also leaves 'message' and 'context' unexplained, so the agent must infer their semantics from names alone. This is insufficient compensation for zero schema descriptions.

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 names a specific verb and resource: 'Report a bug, missing feature, or send feedback.' Among the sibling tools, which are mostly Supabase management actions, no other tool handles bug reporting or feedback. This function is instantly distinguishable, so purpose clarity is high.

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 establishes clear usage contexts: bug reports, missing features, and general feedback. It also provides a concrete usage instruction by asking the caller to include the conversation array for reproduction. It does not explicitly list when-not-to-use or alternatives, but given no sibling tool competes with it, 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.