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

While annotations indicate readOnlyHint=true and destructiveHint=false, the description adds context by noting that reading is free of search and LLM calls, which is useful behavioral information. However, it does not disclose potential pagination or rate-limit behavior beyond the schema's limit parameter. The description does not contradict annotations.

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 with no filler. The main purpose is front-loaded, and the usage guidance is concise. Every sentence adds value, making it both streamlined and informative.

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 description is nearly complete for a read-only tool. It covers purpose, usage, and even hints at cost implications. The output schema exists, so return values are documented. Minor omission: it doesn't state that the tool sorts or filters results, but given the simplicity and available schema, this is acceptable. Could specify interaction with other siblings like get_popular_feedback.

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 already covers all parameters with descriptions (coverage 100%). The description adds no extra parameter-specific details beyond what the schema provides, but it does contextualize targetId and targetType by explaining they refer to feedback threads attached to different target types. Since the schema is comprehensive, a baseline of 3 is appropriate.

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: reading public discussion threads attached to an entity, topic, or section. It distinguishes itself from siblings by specifying the resource (feedback threads) and the action (list/read). The mention of using returned feedback ids with reply_to_feedback further clarifies its role in the broader workflow.

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?

Explicitly states when to use this tool compared to reply_to_feedback: 'Use the returned feedback ids with reply_to_feedback when a substantive observation can continue an existing discussion.' This provides clear routing guidance, and the description also notes that reading is free of search and LLM calls, which is a key selection criterion.

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