Skip to main content
Glama
govconapi

io.github.govconapi/govconapi

Official

Get Vehicle Holders

get_vehicle_holders
Read-onlyIdempotent

Determine which firms hold a government vehicle and which actually earn from it, to assess task-order eligibility and competitive positioning on multi-award contracts.

Instructions

Get who holds a vehicle AND who's actually earning through it, two distinct populations, don't conflate them: a firm can hold a vehicle for years and earn nothing on it.

Award & Compliance tool, Pro only. The "can I even compete for this work" answer, on a multi-award vehicle, only holders can bid task orders.

  • piid: vehicle's own PIID (from search_vehicles or get_contract_vehicle)

  • limit: max 250

Returns awardees (hold the vehicle) and earners (have actually been paid through it) as separate lists with counts (awardee_count/earner_count), on a real multi-award vehicle these can be wildly different (e.g. 1,596 awardees, 2 earners), which is the whole point of the distinction. Each entry's recipient_uei chains into Capture/Teaming tools. Also returns vehicle_family.piids: this rolls up EVERY related PIID under the same vehicle family, not just the one you asked for, so awardee_count reflects the whole family, not a single order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
piidYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations (readOnly, openWorld, idempotent, non-destructive), the description discloses key behavioral traits: it returns separate awardees and earners lists with counts, explains that the counts can be wildly different, and clarifies that vehicle_family.piids rolls up every related PIID so awardee_count reflects the whole family, not just the queried PIID. This is critical behavioral context that annotations do not provide and that an agent must know to interpret results correctly.

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?

The description is long but well-structured: it opens with the core distinction, then provides business context, parameter details, and return behavior. Every sentence adds needed information, especially since schema coverage is 0%. It is slightly verbose but not wasteful; a compact but dense layout earns a 4.

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

Completeness5/5

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

Given the tool's complexity (two distinct lists, family rollup, Pro-only restriction, parameter sources) and that an output schema exists, the description provides all necessary context for an agent to call it correctly and interpret results. It covers the business rationale, parameter origins, output structure, and the family rollup caveat. Nothing essential is missing.

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 description coverage is 0%, so the description must carry the parameter semantics. It explains piid as the 'vehicle's own PIID (from search_vehicles or get_contract_vehicle)' and limit with 'max 250'. While it doesn't fully specify what limit applies to (likely both lists), it gives a concrete bound and source, which is valuable beyond the bare schema. Slight ambiguity about the exact effect of limit prevents a 5.

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 the tool's purpose: 'Get who holds a vehicle AND who's actually earning through it' – a specific verb and resource. It distinguishes between two distinct populations (holders vs. earners) and explicitly says not to conflate them. It also ties the purpose to a concrete business question ('can I even compete for this work'), making it unambiguous and distinct from sibling tools like search_vehicles or get_contract_vehicle.

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 provides clear context on when to use it: it's the 'can I even compete for this work' answer on a multi-award vehicle, and only holders can bid task orders. It also mentions the Pro-only restriction and refers to search_vehicles or get_contract_vehicle as sources for the input PIID. However, it does not explicitly list alternatives or state when not to use it, so it falls just short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/govconapi/govconapi-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server