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check_claim_contract

Certify a proposed use of an FRC statistic against its published Claim Contract BEFORE writing free text. Deterministic verdict (pass/needs_qualifier/block) + reason codes + safe wording + mandatory attribution. Never accepts borrower details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
passport_idYes
causal_assertionNo
legal_conclusionNo
qualifier_droppedNo
attribution_presentNo
individual_predictionNo
scope_beyond_universeNo
personalized_recommendationNo

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the burden of disclosure and does well by mentioning deterministic verdict types, reason codes, safe wording, and mandatory attribution. It also clarifies input restrictions. However, it does not cover failure modes or edge cases like missing contracts.

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?

The description is three sentences, tightly written, with the purpose front-loaded. Every sentence contributes value without redundancy.

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

Completeness2/5

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

Given the tool has 8 parameters, no output schema, and no annotations, the description is insufficient for an agent to correctly construct a request. It lacks parameter explanations, conditions for each verdict, and details on how to select appropriate inputs.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain the meaning of individual parameters like causal_assertion, legal_conclusion, or passport_id. It only provides high-level context about the tool's purpose, leaving parameter semantics largely unexplained.

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?

The description clearly states the tool certifies a proposed use of an FRC statistic against its published Claim Contract, using the specific verb 'certify' with a clear resource and scope. It distinguishes itself from sibling tools that fetch statistics rather than validate claims.

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?

Explicitly indicates when to use: 'BEFORE writing free text,' which provides a clear context for use. It also notes a limitation ('Never accepts borrower details'), but does not explicitly state alternatives or when not to use the tool relative to 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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct data scope: national, state, lender, metro gap, door effect, lender listing, and claim certification. The purposes are clearly separable even though several tools concern FHA denial statistics.

Naming Consistency5/5

Tool names follow a consistent verb_noun snake_case pattern: get_* for retrievals, list_lenders for enumeration, and check_claim_contract for validation. There are no convention clashes or vague single-word names.

Tool Count5/5

Seven tools is well-scoped for a focused statistics and claim-validation server. Each tool serves a distinct purpose and none feel redundant or bolted on.

Completeness4/5

The surface covers the main read-only operations: national, state, lender, metro, and door-level stats plus lender listing and claim contract verification. Minor gaps include retrieval of full contract metadata or other statistic categories, but core workflows have no dead ends.