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

Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context beyond annotations: the comparison is deterministic, it returns transparent self-review data, and it performs no outbound action. This helps an agent trust the tool's side-effect-free nature without overclaiming.

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, dense sentence with no filler. It front-loads the core action, then gives purpose and behavioral boundaries. Every phrase adds value.

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 robust annotations, output schema, and clear purpose, the description is largely complete for a read-only analysis tool. Minor gaps remain around when to use this versus closely related scoring/explanation tools and the significance of min_review_threshold, but the core invocation context is well covered.

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 67%, and the description adds some meaning by clarifying the comparison between role text and saved preferences, which maps to target/profile. However, it does not explain tenant_id or min_review_threshold, and the description does not compensate for those undocumented parameters. With partial schema coverage, this is adequate but not exemplary.

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 names a specific verb ('Compare'), a clear resource ('role text' vs 'saved preferences'), and a concrete method ('deterministic checklist'). It also states the decision it supports and explicitly distinguishes itself from outbound application tools by saying 'no outbound action.' This is enough to separate it from siblings like talent_scout_score_fit and talent_scout_compose_application.

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 gives clear context: use it when deciding whether to review or apply manually, and it is a read-only, no-outbound-action tool. However, it does not explicitly say when to prefer this over sibling tools like talent_scout_score_fit or talent_scout_explain_preferences_match, nor does it state when not to use it. The usage guidance is implied rather than explicit.

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