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

With no annotations, the description must disclose behavior. It only states 'synthesis' but does not clarify if it's read-only, how sources are merged, error handling, or any side effects. The tool appears to analyze input and return results, but the lack of any operational details leaves significant gaps.

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 single sentence that is clear and immediately front-loads the primary purpose. Every word is necessary; there's no fluff.

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?

While the schema and output schema provide structural details, the description lacks guidance on edge cases, input constraints, and use-case alignment. It does not explain how the synthesis works or any limitations, making it incomplete for an AI agent to confidently invoke.

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 100%, so the baseline is 3. The description adds minimal value beyond the schema—it doesn't elaborate on parameters like 'focus' or 'since' or how to configure sources; it only repeats the notion of 'multi-source'.

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 'Multi-source feedback synthesis into ranked pain clusters' clearly states the action (synthesis) and the resource (multi-source feedback) with a specific output format (ranked pain clusters). This differentiates it from sibling tools like get_pain_points (which likely retrieves existing clusters) and search_feedback (which is a search operation).

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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention intended scenarios, prerequisites, or explicit alternatives, leaving the agent to infer from the tool name and sibling names.

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