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audit_va_award_document_with_jev

Audit, classify, and extract military disability / discharge verification from VA award letters, DD-214s, or rating code sheets using TypeSafe System One (Jev). Validates P&T, TDIU, and surviving spouse DIC for $0.00 pro-bono statutory property tax exemption.

Input Schema

NameRequiredDescriptionDefault
raw_ocr_textYesRaw OCR or PDF text extracted from VA benefit summary letter or DD-214
veteran_nameNoOptional claimant / veteran full name

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

B3.2/5.0
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 disclosure burden. It notes the $0.00 pro-bono nature of the exemption check, which is useful context, but says nothing about whether the document is stored, whether this is a read-only analysis, what happens on unreadable OCR input, or what the response contains.

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 with the action and the domain of documents front-loaded; the second sentence carries the eligibility scope. The phrase 'using TypeSafe System One (Jev)' and the '$0.00 pro-bono statutory' framing are slightly promotional but still informative.

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 and no annotations, the description should say what the audit returns (classification verdict, extracted ratings, eligibility determination). For an extract-and-classify tool with 2 inputs, the absence of any return-value or side-effect description leaves a real gap.

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% for both parameters, so the baseline is 3. The description adds document-type context that clarifies what raw_ocr_text should contain (VA benefit summary, DD-214, rating code sheet), but it adds no format or length guidance beyond the schema.

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?

The description names specific verbs (audit, classify, extract) and concrete resources (VA award letters, DD-214s, rating code sheets), plus the backing system (TypeSafe System One / Jev). It does not differentiate itself from near-neighbors like parse_va_benefit_letter or verify_va_disability_exemption, so an agent must infer the boundary from the phrase 'audit ... with Jev'.

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?

Usage is only implied through the document types and the P&T/TDIU/DIC exemption purpose. There is no explicit statement of when to pick this over verify_va_disability_exemption or parse_va_benefit_letter, and no prerequisites or when-not conditions.

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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