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

No annotations provided, so description bears full burden. It explains the tool is information + enrollment-nudge only, the plan administrator decides, and it is employer-pays B2B2C. This fully discloses the non-action-taking, consultative behavior.

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?

Three sentences that front-load purpose and add context. Every sentence adds value, though the first sentence is somewhat long. Appropriately sized for the tool's complexity.

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?

No output schema, and description does not detail return format. With 10 parameters and a detection task, more details on what 'detect' outputs would improve completeness. However, the description covers core behavior and constraints adequately.

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 coverage is 0%, but description lists some benefit types that map to parameters (e.g., dependent-care FSA, HSA match). It adds meaning beyond boolean names, but not all 10 parameters are explicitly covered (e.g., hasHdhp, dependentsUnder13 are implied). Partial compensation.

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 detects under-used employer benefits an employee qualifies for, listing specific benefit types (dependent-care FSA, student-loan repayment, fertility/IVF, HSA match). This distinguishes it from sibling tools like life_event_scan or missed_credits_scan.

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?

Description indicates the tool is informational and nudge-only, handing off to HR/SPD. It specifies ERISA-aware and non-medical scope. However, it does not explicitly state when not to use or name alternatives, though context is clear.

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