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Glama

Govparse Government Data Gateway

va_feed_sdvosb

Which veteran-owned (SDVOSB / VOSB) vendors just showed fresh federal traction? Bulk feed over the verified veteran-owned vendor roster, newest-first by most recent award date: vendor, state, NAICS, certification, and its VA-specific + total federal award totals (banded). A set-aside-eligible vendor with recent traction is a teaming / growth target. Flat rows, cursor-paginated up to 1000/page, filterable by state, NAICS, certification, VA award, or since. Observational public records as filed. [price: $0.05/row]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoRows per page (default 500, cap 1000).
naicsNoNAICS code prefix(es), CSV — matches the vendor's award NAICS.
sinceNoOnly vendors whose most recent award is on or after this date (YYYY-MM-DD).
stateNoVendor state code(s), CSV.
cursorNoOpaque page cursor — pass the previous page's next_cursor unchanged.
min_va_awardNoMinimum total $ this vendor has won from the VA.
certificationNosdvosb | vosb.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses that the feed is cursor-paginated, filtering available, and that records are observational public records. There are no contradictions, and no destructive actions are implied.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief yet informative, front-loaded with a question that captures purpose, then specifics. Every sentence adds value, and the price note is appended efficiently. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 7 optional parameters and no output schema. The description explains the output fields, ordering, pagination (cursor, cap), and price. It lacks explicit mention of response structure (e.g., presence of 'next_cursor'), but is otherwise complete for a feed tool.

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%, so baseline is 3. The description adds context by explaining output fields, pagination, and filtering capabilities (state, NAICS, certification, VA award, since). It also mentions the price per row, which is not in schema.

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?

The description clearly states that the tool provides a feed of SDVOSB/VOSB vendors with recent federal traction, sorted newest-first by award date. It lists specific output fields (vendor, state, NAICS, certification, award totals) and distinguishes from siblings by focusing on veteran-owned vendors and feed format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for identifying set-aside-eligible vendors for teaming/growth targets. It mentions filterability and price, but does not explicitly compare to sibling tools or state when not to use. Still, the context is clear.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct domain and specific action (e.g., FDA approvals vs clearances vs recalls; firmstanding business360 dossier vs search vs screen). Even overlapping concepts like 'business360' vs 'business360_lookup' are distinguished by input (UUID vs name+state). No two tools appear to do the same thing.

Naming Consistency5/5

All tools use a consistent lowercase snake_case pattern with domain prefix (e.g., fda_*, firmstanding_*, fmcsa_*, govcon_*). Action words (search, lookup, screen, feed, stats) follow predictable usage. The naming is uniform and easy to parse.

Tool Count4/5

38 tools is on the higher end but appropriate for a comprehensive government data gateway spanning multiple agencies and datasets. Each domain has a reasonable number of tools (e.g., FMCSA: 7, OFLC: 6). Could potentially be trimmed slightly, but overall well-scoped for the stated purpose.

Completeness5/5

The tool surface covers the major government data sources comprehensively: FDA (approvals, clearances, recalls), FMCSA (carrier census, safety, insurance, etc.), FSIS, DOJ/OFLC, OSHA/EPA/DOL enforcement, SEC insider filings, clinical trials, VA facilities/opportunities/vendors, and federal contracting. No obvious gaps for the stated gateway purpose.

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