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audit_va_funding_fee_refund

Audit eligibility and draft statutory lender demand letter for full refund of VA Home Loan Funding Fee under 38 U.S.C. § 3729(c) for veterans awarded retroactive service-connected disability ratings.

Input Schema

NameRequiredDescriptionDefault
lender_nameYesOriginating or current mortgage lender name
loan_amountYesBase loan amount before funding fee
loan_numberNoMortgage loan number
closing_dateYesMortgage loan closing date (YYYY-MM-DD)
veteran_nameYesVeteran's legal name
rating_effective_dateYesEffective date of service-connected rating from VA Rating Decision (YYYY-MM-DD)
va_disability_percentageYesCurrent VA disability rating percentage (min 10%)
applied_funding_fee_percentageYesVA funding fee percentage charged (e.g. 2.15)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

B3.4/5.0
Behavior3/5

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 does disclose a consequential behavior — that it drafts a statutory lender demand letter, not just computes a number — and cites § 3729(c), which is real added context. However it never says whether the letter is returned, saved, or sent, nor whether ineligibility is reported, so material behavioral gaps remain.

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?

A single sentence with no filler, front-loaded on the audit verb and the refund subject. It is dense enough that the second half (statute citation plus eligibility condition) requires a careful read, which keeps it from a 5.

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?

Eight parameters with seven required is a substantial schema, and with no output schema and no annotations the description should say what comes back (an eligibility determination? a letter body?). The statutory citation lets an agent route correctly, but the output and the eligibility test itself are unspecified.

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%, so all eight parameters are already documented, making the baseline 3. The description hints at the semantics that matter most — the interaction between rating_effective_date and closing_date that establishes retroactivity — but leaves the agent to infer that relationship rather than stating it.

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 two specific verbs (audit eligibility, draft demand letter) against a specific resource (VA Home Loan Funding Fee refund), with a named legal basis. It is clearly separable from siblings like verify_va_disability_exemption or audit_va_award_document_with_jev, though it never explicitly names a sibling to route against.

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

Usage Guidelines3/5

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

The phrase 'for veterans awarded retroactive service-connected disability ratings' implies the qualifying scenario, which is useful context. But there is no explicit when-not guidance, no alternatives named, and no statement of what to do if eligibility fails.

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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