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parse_va_benefit_letter

Read-onlyIdempotent

Parse digital text or OCR extracted from a VA Benefits Summary & Service Verification Letter to determine 100% P&T rating, TDIU, and statutory exemption eligibility.

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": {
      "letter_text": "<letter_text>"
    },
    "name": "parse_va_benefit_letter"
  }
}

Input Schema

NameRequiredDescriptionDefault
letter_textYesPasted text or OCR content from VA.gov Benefit Summary letter

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 readOnly, idempotent, non-destructive, and closed-world, so the safety profile is fully covered. The description adds which three determinations are attempted, but says nothing about how it behaves on non-matching or partial text, whether an inconclusive result is returned, or how output is shaped. Useful addition, but thin beyond the annotations.

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 front-loaded sentence with zero filler; scope (what input), action (parse), and outcome (three determinations) all appear immediately. It is dense with unexpanded acronyms (P&T, TDIU), which is acceptable for the domain but leaves no room for the caveats the tool arguably needs.

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?

No output schema exists, so the description carries the burden of explaining return values, yet it only names the determinations without indicating whether results are booleans, extracted quotes, confidence levels, or an error on inconclusive letters. For a parsing/classification tool this is a meaningful gap, though the input side is fully specified.

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?

With one parameter at 100% schema coverage, the schema already fully documents letter_text. The description reinforces the constraint that the input must be digital text or OCR (not an image or file path) and that it must come from this specific letter type, but that largely restates the schema wording rather than adding new meaning.

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 a specific verb ('Parse') plus the exact resource (VA Benefits Summary & Service Verification Letter text) and names the determinations produced (100% P&T, TDIU, statutory exemption eligibility). It is clearly a text-extraction/determination tool rather than one of the audit_* or verify_* siblings, though it never explicitly contrasts itself with verify_va_disability_exemption.

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: the reader infers it should be used once a letter's text or OCR output exists. There is no explicit when-to-use, when-not-to-use, prerequisite, or named alternative for cases where raw text is unavailable (e.g., an unscanned PDF or image), so the agent must guess the handoff point.

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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