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company_research

Use this when researching a company from its website domain (not UK Companies House). Sourced tech stack, socials, emails/phones, DNS/MX/SPF/DMARC, RDAP, SSL, sitemap, news — no LLM fiction. Example: {domain:"stripe.com"}. Prefer uk_company* for UK filings. $0.25 USDC.

Input Schema

NameRequiredDescriptionDefault
domainYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses provenance ('Sourced ... no LLM fiction'), enumerates collected data categories, and surfaces a per-call cost ($0.25 USDC), which matters for an agent deciding to invoke. It stops short of stating whether the charge applies on failure, latency expectations, or error behavior.

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?

Front-loaded with the routing condition and the exclusion, then the data scope, then the example and cost — a sensible priority order. The dash-separated source list is dense but each item adds signal; only the fragmentary phrasing costs it a point.

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 one-parameter tool with no annotations and no output schema, the description covers what to pass, what comes back at a category level, what it costs, and when not to use it. A short note on output shape or failure/payment semantics would make it fully complete.

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 0% and the single 'domain' property is undocumented, so the description must compensate. The phrase 'from its website domain' plus the example {domain:"stripe.com"} conveys the expected bare-domain format (no scheme or path), which is the key ambiguity for this parameter.

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?

States a specific verb and resource ('researching a company from its website domain') and immediately scopes it away from the sibling 'uk_company' family by name, so an agent can discriminate without opening a schema.

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

Usage Guidelines5/5

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

Gives an explicit when-to-use clause, an explicit when-not ('not UK Companies House'), a named alternative ('Prefer uk_company* for UK filings'), and a concrete invocation example. Nothing is left to inference about routing.

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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