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audit_va_award_document_with_jev

Read-onlyIdempotent

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.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "raw_ocr_text": "<raw_ocr_text>"
    },
    "name": "audit_va_award_document_with_jev"
  }
}

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

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine context beyond that: the $0.00 pro-bono nature and the TypeSafe System One (Jev) backend, which hints that no external lookup is performed. It stops short of describing what the classification output looks like or how it handles ambiguous OCR text.

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 action and the accepted document types, with no filler. The second sentence is dense with domain terms and the '$0.00 pro-bono statutory property tax exemption' phrase reads slightly promotional, but it still conveys the tool's domain purpose.

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?

There is no output schema, so the description carries the burden of indicating what comes back, and it only implies results via 'classify' and 'Validates P&T, TDIU, and surviving spouse DIC.' For a read-only two-parameter extraction tool this is workable, but an agent cannot tell the shape of the determination (boolean flags, extracted dates, confidence) from the definition.

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, with raw_ocr_text and veteran_name clearly documented in the schema itself. The description adds no syntax, format, or length guidance beyond the schema, so the baseline of 3 applies.

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?

Uses three specific verbs (audit, classify, extract) against a named resource (military disability / discharge verification) and names the exact document types accepted: VA award letters, DD-214s, rating code sheets. It also names the specific determinations validated (P&T, TDIU, surviving spouse DIC), which separates it from generic siblings like parse_va_benefit_letter, though it never explicitly names an alternative.

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 implied through the enumerated input document types, which gives an agent a reasonable sense of when the tool applies. However, there is no explicit when-not guidance, no named alternative among the many VA-related siblings (verify_va_disability_exemption, parse_va_benefit_letter), and no statement of prerequisites such as the need for OCR text versus a PDF.

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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