prime-refund-tools

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.

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.

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.

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.

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.

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.

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 does disclose concrete output values ($51 standard, up to $200 Phase 4 top-up), which is genuinely useful. But it says nothing about read-only status, data sensitivity for refund claims, whether eligibility must be confirmed first, or what 'scam alert verification' entails or triggers.

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?

A single front-loaded sentence with the concrete amounts up front. It is efficient, though the appended 'and scam alert verification' clause reads as tacked-on and slightly undercuts the otherwise clean structure.

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?

For a two-parameter tool with full schema coverage and no output schema, the description covers the essentials of what it computes. It falls short on the unexplained scam-verification behavior and on positioning relative to its two sibling tools, which an agent would need to sequence these calls correctly.

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 100% with only two parameters, so the schema already documents phase and is_individual completely. The description adds marginal value by tying 'Phase 4' to the $200 top-up and 'standard' to $51, but provides no semantics for is_individual. Baseline 3 is appropriate.

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 (Estimate) and resource (Amazon Prime settlement refund payment amount), which cleanly separates it from check_prime_refund_eligibility and get_prime_refund_deadline_info. However, the trailing 'and scam alert verification' clause introduces a second, unexplained purpose that muddies what the tool actually returns. Still, an agent can broadly tell this is the amount-estimation tool.

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?

There is no guidance on when to call this versus its siblings, nor any stated prerequisite such as running check_prime_refund_eligibility first. The only hint of context is the amounts mentioned, which implies a post-eligibility estimate but never says so explicitly.

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

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

No annotations exist, so the description carries the full burden. It adds one useful behavioral signal – the content is 'authoritative' official guidance rather than speculation – but says nothing about data freshness, caching, or sourcing. For a low-risk read-only info lookup this is adequate but thin.

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?

One front-loaded sentence with no filler; the scoping phrase 'for the Prime FTC settlement' is placed at the end where it belongs. Slightly list-heavy but every element earns its place.

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?

With no output schema, the description effectively doubles as a return-content summary by naming the three categories of information returned. Combined with a single optional enum parameter, an agent has enough to invoke it correctly.

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 100% with an enumerated topic and a documented default, so the schema does the heavy lifting. The description usefully maps its three content categories onto the enum values (deadlines, channels, scam_warnings), but omits any mention of the 'all' option.

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?

States a specific verb ('Get') plus three concrete resources (claim deadlines, official communication channels, fraud prevention guidance) scoped to the Prime FTC settlement. This clearly separates it from check_prime_refund_eligibility and estimate_prime_refund_amount, though it never names those siblings explicitly.

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 says what the tool returns but gives no condition for when to reach for it over the two sibling tools, and no prerequisites or exclusions. Usage is only inferable from the resource list, not stated.

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