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find_settlements

Find open class-action settlements you may be eligible to claim (often no proof of purchase required). Returns settlements with payout, claim deadline, proof requirements, and the official claim URL. Use when an agent wants to surface free-money / consumer-rights opportunities for a user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional keyword to filter settlements, e.g. 'data breach', 'apple', 'privacy'. Omit to list the most recent open settlements.

TDQS

A4/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. States it 'returns settlements' with fields but does not disclose if it's read-only, auth needs, or limitations. Adequate for a simple search tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with core purpose. Each sentence adds value: function, return values, usage context. No fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Simple tool with one optional param and no output schema. Description covers purpose, return fields, and use case. Could mention scope (e.g., region) but not needed for clarity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a clear description for the optional 'query' parameter. Tool description does not add extra semantic info beyond schema, baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb and resource: 'Find open class-action settlements.' Specifies what is returned (payout, deadline, proof, URL). Siblings are in different domains, so no confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit use case: 'Use when an agent wants to surface free-money / consumer-rights opportunities.' No when-not or alternatives, but siblings are distinct, reducing ambiguity.

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

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TDQS

A3.8/5.0
Disambiguation5/5

Each tool has a distinct purpose: availability, safety recalls, price fairness, legal claims, and card grading. No overlap or ambiguity.

Naming Consistency3/5

Three tools use 'check_' prefix, but 'find_settlements' and 'grade_card_centering' break the pattern. Mixed verb styles reduce predictability.

Tool Count5/5

5 tools is well-scoped for a consumer intelligence server, covering diverse needs without bloat.

Completeness2/5

Notably, 'grade_card_centering' is non-functional on the server (client-side only), and there are gaps like price history or general product info.

Resources