Skip to main content
Glama

get_company

Read-onlyIdempotent

[GET /v1/companies/:id — $0.05] Company profile by id: name, country, NIF, aliases and source identifiers (cross-source identity), plus aggregate stats (wins, total awarded value, top CPVs, top buyers).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesnumeric id from search results
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

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnlyHint, idempotentHint, and non-destructive behavior, so the bar is lower. The description adds genuine context beyond annotations: the HTTP method and endpoint (GET /v1/companies/:id), the per-call cost ($0.05), and the cross-source identity semantics. No description-annotation contradiction.

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?

One dense sentence with the method, endpoint, and cost front-loaded, followed by a scannable field enumeration. The 'plus aggregate stats' grouping cleanly separates profile fields from statistical fields. No filler, though each clause earns its place rather than being minimal.

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?

For a moderately complex read tool with one required parameter, strong annotations, and no output schema, the description covers the essentials: what is returned (profile fields and aggregate stats), how it is keyed, and what it costs. The remaining gap is response structure detail, but the explicit enumeration of return groups mitigates the absence of an output 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 description coverage is 100% — id ('numeric id from search results', exclusiveMinimum 0), client_key, and payment_token are all documented in the schema. The description only reinforces that id is the lookup key ('by id') and adds no syntax, format, or default detail beyond the schema, so the baseline of 3 applies.

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

Purpose4/5

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

The description states a specific verb and resource ('Company profile by id') and enumerates the payload contents: name, country, NIF, aliases, source identifiers, and aggregate stats. This is clear and specific, and the content list implicitly separates it from siblings like get_company_awards and get_company_opportunities, though it never names them explicitly.

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?

Usage is implied ('by id' — you need a company id to fetch its profile), and the id parameter notes ids come from search results. However, there is no explicit when-to-use versus alternatives: nothing says to prefer get_company_awards for award lists or get_company_opportunities for opportunity feeds, and no exclusions are stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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