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Enrich — Company Domain Intelligence

Enrich Company By Name

enrich_company_by_name

Enrich a company by name (partial match). Returns company domain, country, contact emails, phone numbers, and social media profiles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCompany name, e.g. 'apollo sale' or 'Acme Corp'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the returned data (domain, country, emails, phones, social profiles) in the absence of an output schema, but says nothing about cost/credits, rate limits, auth, or the risk of partial-match false positives.

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?

Two tight sentences, front-loaded with the action and matching mode, then the return payload. No filler, though the return enumeration is slightly list-heavy for the space.

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 single-parameter read/enrichment tool with no annotations and no output schema, the description covers purpose, matching mode, and return shape. What is missing is the relationship to its sibling tool and any operational constraints.

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 100% and there is only one parameter, so the schema does the heavy lifting (baseline 3). The description adds the partial-match semantics, which is genuinely beyond the schema, but no syntax or matching-behavior detail beyond that single phrase.

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?

States a specific verb (enrich) and resource (company), plus the matching mode (by name, partial match). It does not, however, distinguish itself from the sibling enrich_company, leaving the agent to infer that the sibling is for a different identifier type.

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

Usage Guidelines2/5

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

No explicit when-to-use guidance and no mention of the sibling enrich_company as an alternative. The parenthetical '(partial match)' hints at the input condition but stops short of routing the agent between the two enrichment tools.

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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