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get_company_awards

Read-onlyIdempotent

[GET /v1/companies/:id/awards — $0.05] Paginated award history for a company: dates, lots, values, tender + buyer context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesnumeric id from search results
pageNo
sizeNo
client_keyNoPrepaid credit balance key: when set, paid calls first try to debit this account instead of requiring a per-call proof.
payment_tokenNoPayment proof: dev mode → single-use token from POST /v1/dev-faucet; x402 mode → base64 payment payload (the PAYMENT-SIGNATURE / X-PAYMENT header value)

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish read-only, open-world, idempotent, non-destructive behavior. The description adds useful extra behavioral context: results are paginated and the call carries a $0.05 cost, plus a preview of the returned fields. No contradiction with 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.

Conciseness5/5

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

A single front-loaded sentence conveys endpoint, cost, pagination, resource, and return content with no filler. Every element earns its place.

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?

Without an output schema, the description still names the key return areas (dates, lots, values, tender + buyer context) and indicates pagination. It does not specify response shape or ordering, but the required call parameters are documented in the schema.

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?

Schema coverage is 60% and the described params already carry good descriptions; page and size are self-explanatory with constraints. The description supports them by calling the result 'paginated' but does not deepen their semantics.

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 names a concrete resource ('award history for a company'), an HTTP verb/path, and the content of the payload ('dates, lots, values, tender + buyer context'). This clearly separates it from siblings such as get_company_opportunities and get_tender.

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 phrase 'award history for a company' gives a clear selection context: use this when the agent needs a company's past awards. It does not explicitly name alternatives or state when not to use it, so it stops 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.

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TDQS

A4.1/5.0
Disambiguation5/5

Each tool maps to a distinct resource or action: billing balance, credit purchase, company profile/awards/opportunities, tender search/detail, renewals, buyer history, and research brief. The only possible overlap is research versus raw query tools, but the descriptions clearly separate a high-level brief from raw rows.

Naming Consistency3/5

Most tools follow a readable get_<resource> pattern, but billing_get_balance, billing_purchase_credits, search_tenders, and research deviate with namespace prefixes, a different verb, and a bare noun. The naming is not chaotic, but the conventions are mixed.

Tool Count5/5

With 11 tools, the server is well-scoped for a procurement-intelligence API: search, detail views, company and buyer analytics, renewal signals, research, pricing, and billing support. Each tool has a clear place and there are no obvious redundant tools.

Completeness5/5

The tool set covers the full core workflow: search for tenders, get full tender detail, explore company and buyer profiles, retrieve opportunities and renewals, generate research briefs, and manage billing. Ids returned by searh feed into detail tools, and no exposed data type appears to be a dead end.

Resources