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lookup_va_ogc_vso

Query official VA Office of General Counsel (VA OGC) nationwide accreditation registry of 18,660+ recognized claims representatives across all 50 states (DAV, VFW, American Legion, PVA, AMVETS, State Departments of Veterans Services). Resolves official 3-character VA Power of Attorney (POA) codes and verifies accreditation registration numbers.

Input Schema

NameRequiredDescriptionDefault
cityNoCity name (e.g. 'Atlanta', 'Chattanooga', 'Miami')
stateNo2-letter US state code (e.g. 'GA', 'TN', 'FL', 'TX', 'CA')
organizationNoOrganization name or acronym (e.g. 'DAV', 'VFW', 'American Legion', 'PVA', 'Georgia Department of Veterans Service')
registration_numberNoOfficial VA accreditation registration number to validate

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations exist, so the description carries the behavioral burden. It adds useful context that this is a public official registry of a known size, which implies a read-only lookup, but it never says what happens with zero filters (all 18,660 records?), how the four filters combine (AND vs OR), whether matching is exact or partial, or how results are returned/paginated.

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 verb and resource; the organization parenthetical duplicates the schema's own examples somewhat, but overall it is dense and purposeful rather than padded.

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 4 fully optional parameters, no annotations, and no output schema, an agent still lacks two essentials: what an unfiltered call returns and how multiple filters interact. Given the tool's complexity (a nationwide registry query), the description is adequate but leaves real gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each parameter already has an example-bearing description, so the baseline is 3. The description adds real meaning by framing registration_number as a validation key and explaining that the registry resolves official 3-character POA codes, which is terminology the schema never defines.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: query the VA OGC nationwide accreditation registry, plus the two lookup capabilities (resolving 3-character POA codes and verifying registration numbers). The scope (18,660+ reps, all 50 states, named VSOs) makes it clearly distinct from siblings such as generate_vso_referral or 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?

The description implies usage — you call it to resolve POA codes or validate an accreditation registration number — but never says when to prefer it over siblings like get_representation_rules or generate_vso_referral, nor any exclusion conditions. Usage is inferable rather than stated.

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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