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.
| Name | Required | Description | Default |
|---|---|---|---|
| letter_text | Yes | Pasted text or OCR content from VA.gov Benefit Summary letter |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral-disclosure burden. It states the input source and target determinations, but does not disclose limitations, confidence, output format, or what happens if the letter text is incomplete or ambiguous.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The definition is a single front-loaded sentence with no filler. The purpose and target determinations are stated immediately and without repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description names the input and the high-level determinations, which is adequate for a single-parameter parsing tool. However, because there is no output schema, it should say more about what the tool returns and how results are structured.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one fully described parameter, and its description already covers pasted text or OCR content from a VA.gov Benefit Summary letter. The tool description adds little parameter-level detail beyond that, so the baseline score of 3 applies when schema coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: parse text from a VA Benefits Summary & Service Verification Letter. It also states the determinations made: 100% P&T rating, TDIU, and statutory exemption eligibility. It does not explicitly distinguish itself from nearby veteran-related siblings such as verify_va_disability_exemption or generate_veteran_packet.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description says what input it accepts but gives no explicit guidance on when to use this tool versus alternatives. It does not mention when not to use it or point to sibling tools for related verification or audit tasks.
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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