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PeopleSearch.im

by im.peoplesearch

Fetch a verified work email

fetch_email
Idempotent

Look up the verified professional (work) email for a person you have already unlocked with find_people (or reveal_profile). Pass their id. Spends 1 credit, refunded automatically if no email is found. The lookup is live: if it returns emailStatus 'searching', call fetch_email again with the same id (no extra charge) to collect the result once it resolves. Returns a professional address, never a personal one; not every person has a findable work email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profile_idYesThe `id` of a person returned by find_people (or reveal_profile).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations, the description discloses meaningful behavior: it spends 1 credit, refunds if no email is found, can return a transient 'searching' status requiring a no-charge retry, and never returns personal addresses. This gives the agent essential operational expectations for a live lookup.

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?

The description is concise but information-dense, front-loading the core purpose and then covering credit cost, retry semantics, result type, and limitations. Every sentence contributes operational value with no filler.

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 tool with no output schema, the description sufficiently covers input expectations, return semantics, retry behavior, and edge cases. It could be slightly more explicit about output fields beyond emailStatus, but it is complete enough for an agent to invoke and interpret the result correctly.

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 100%, but the description adds practical meaning by clarifying the parameter is the person id from find_people or reveal_profile, and that the same id can be reused for the retry. This supplements the schema's simple description without being redundant.

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?

The description clearly states the tool looks up a verified professional work email for an already-unlocked person, with a specific resource (person id) in scope. It is distinct from sibling tools like verify_email or company search because it targets a person's work email specifically.

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

Usage Guidelines4/5

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

The description gives clear context: use it for a person already unlocked via find_people or reveal_profile, and pass their id. It also explains the retry flow when emailStatus is 'searching'. It does not explicitly name alternatives or exclusions relative to siblings, so it stops short of a 5.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but pairs like company_search/lookup_company and find_linkedin_profile/lookup_linkedin_profile could cause selection errors. The free-search versus paid-unlock flow (people_search/find_people/reveal_profile) is well-differentiated by detailed descriptions.

Naming Consistency3/5

Naming mixes verb_noun patterns (find_people, fetch_email) with noun_verb patterns (company_search, people_search), and uses overlapping verbs like find, lookup, search, and fetch. The pattern is readable but not consistently predictable.

Tool Count5/5

With 12 tools, the set is well-scoped for a people search and email enrichment service. Each tool covers a distinct operation, from free search to paid profile unlock, email verification, and credit checking, without unnecessary bloat.

Completeness4/5

The toolset covers the core lifecycle: free search, paid profile unlock, email fetch, verification, and reverse lookup. Minor gaps exist, such as not being able to fetch an email later for a profile unlocked via reveal_profile unless include_email is set initially, but agents can work around these.

Resources