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check_prime_refund_eligibility

Check Amazon Prime FTC settlement refund eligibility and map to refund phase (Phase 1, 2, or 3). Matches primesettlementrefund.com criteria.

Input Schema

NameRequiredDescriptionDefault
join_periodYesWhen Prime was joined: 'pre' (Before June 2019), '19_23' (June 2019 - June 2023), or 'post' (After June 2023)
benefits_usedYesLevel of Prime benefits actually used
failed_cancellationYesWhether cancellation was attempted and failed/confused

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that a phase (1/2/3) is produced, but not whether the check is read-only, what the returned eligibility verdict looks like, or how the three inputs combine to determine phase — significant gaps for a decision tool.

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

Conciseness4/5

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

Two sentences, front-loaded with the purpose and zero padding; the phase enumeration is a useful compact detail. The trailing 'Matches primesettlementrefund.com criteria' is of marginal value but not wasteful enough to penalize.

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

Completeness3/5

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

With no output schema, the description should explain what comes back; it hints at a phase result but never describes the eligibility verdict, phase definitions, or output shape. Inputs are fully documented by the schema, so the gap is confined to the result side, making this minimally adequate.

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 description coverage is 100% and all three enum parameters carry inline descriptions with value meanings, so the schema does the heavy lifting. The description adds no parameter-level meaning beyond restating the domain, which is the baseline 3 when coverage is high.

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

Purpose4/5

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

States a specific verb ('Check') and resource ('Amazon Prime FTC settlement refund eligibility') and adds that it maps to a refund phase, which is concrete. It does not explicitly differentiate itself from siblings estimate_prime_refund_amount or get_prime_refund_deadline_info, though the noun choice makes the split reasonably inferable.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no routing to alternatives are given. The only contextual clue is 'Matches primesettlementrefund.com criteria,' which describes fidelity of the rules rather than when an agent should pick this tool over its siblings.

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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