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

No annotations are provided, so the description carries the full burden. It only states the function and notes 'public data only', but does not describe the output format, any side effects, or potential limitations. For a read-only ranking tool, this may seem safe, but without explicit safety or side-effect disclosure, the transparency is insufficient.

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 concise, with a clear purpose statement and well-separated WHEN TO USE and WHEN NOT sections. No fluff or redundant information. It is easily scannable and 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?

Given that there is no output schema, the description does not need to explain return values. It covers the core functionality, typical usage contexts, and explicitly states the data source constraint ('public data only'). It could be improved by mentioning what the ranked output looks like (e.g., list of procedures with cost estimates), but the current description is adequate for most purposes.

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 input schema defines zero parameters (properties: {}, additionalProperties: true), so per rubric the baseline is 4. The description mentions 'set of procedures' and 'given member' implying the need for these inputs, but does not specify parameter names or types. Since no parameters are formally defined, the description does not need to compensate, and it does not introduce contradictions.

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 action ('Rank a set of procedures by affordability for a given member') and provides specific use cases. It also explicitly names sibling tools in the WHEN NOT section (scan_bill_for_errors, generate_appeal_letter), helping to distinguish from alternatives. A slightly higher score would require naming a direct sibling for comparison, but the current wording is sufficiently clear.

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?

Explicit WHEN TO USE and WHEN NOT sections list concrete scenarios (planning for medical expense, comparing plan options, financial assistance, payment plan) and explicitly name exclusions (billing-error analysis, appeal drafting). This gives unambiguous guidance on when to invoke this tool versus others.

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