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Email Enrichment

run_email_enrichment
Read-onlyIdempotent

Enriches a known email address with associated profile data (name, phone, company, position, LinkedIn/X profiles) when available.

Input Schema

NameRequiredDescriptionDefault
emailYesEmail address to enrich.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and openWorld, so the safety profile is covered. The description adds only that enrichment returns data 'when available', hinting at possible partial results, but omits auth needs, rate limits, or data-source/accuracy context.

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 tight sentence front-loads the action and enumerates the returned fields with zero filler. Nothing could be cut without losing information.

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 read tool with no output schema, the description adequately states what is returned and that results may be partial. Gaps remain around failure behavior and data freshness, but the core need is covered.

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% for the single email param, so the schema already documents it fully. The description's field list describes outputs rather than adding parameter meaning, so the baseline 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?

States a specific verb (enriches) and resource (a known email address) plus the profile fields returned (name, phone, company, position, LinkedIn/X). The word 'known' hints at the input requirement, but it never names siblings like run_email_finder or run_email_validation to clarify the boundary.

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?

'A known email address' implies you must already possess the email, which implicitly separates it from a finder, but there is no explicit when-to-use/when-not and no named alternative. Usage must be inferred from the single adjective.

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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