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company_facts__bundle

One-call bundle: company identity, recent filings, OFAC screen and the EUR/USD reference rate. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: GET https://api.firstmention.uk/s/company-facts/bundle

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "company_facts__bundle"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations at all, the description carries the full behavioral burden, and it does usefully disclose the paid model upfront: $0.01 per call, USDC on Base, x402 payment supplied via params._meta['x402/payment'], plus the raw HTTP endpoint. It stops short on other behavior an agent needs, such as whether the call fails or degrades when payment is absent and what exactly comes back from each of the four sections.

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?

Two tight sentences: the payload is described first, then the commercial and transport details. Every clause carries information, and nothing is repeated from structured fields.

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?

For an aggregate tool with no annotations and no output schema, the description covers the payload and the payment mechanics well, but leaves the only input parameter undefined and gives no sense of which of the four results is authoritative when they disagree. It is adequate but has a conspicuous hole around the parameter.

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

Parameters2/5

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

Schema coverage for the single 'name' parameter is 0%, so the description must explain it, and it does not. It is unclear whether 'name' means a legal company name, a trading name, or a domain, and with zero required parameters an agent also cannot tell whether the call is valid without it.

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 names the included outputs precisely: company identity, recent filings, OFAC screen, and the EUR/USD reference rate, and frames it as a 'one-call bundle'. That distinguishes the tool's scope from single-purpose siblings, but it never names an actual sibling (e.g. company_facts__lookup or company_facts__filings) to sharpen the choice.

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 'one-call bundle' phrasing implies the use case (get four related data points in a single paid call), but there is no explicit when-to-use, when-not-to-use, or named alternative. An agent has to infer that this is the convenience option versus calling the focused siblings separately.

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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