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nick-timms

AgentData MCP Server

by nick-timms

find_people

Search for people within companies using filters like title, seniority, department, sector, and tech. Returns SMTP-verified emails with confidence scores.

Instructions

Search for people at companies. Filter by title, seniority, department, or company attributes like sector and technology. Emails are SMTP-verified with confidence scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoCompany domain to search within
titleNoJob title filter
seniorityNoSeniority level: c-level, vp, director, manager, individual
departmentNoDepartment filter
has_emailNoOnly return people with verified emails
sectorNoCompany sector filter
techNoTechnology the company uses
limitNoMax results to return
email_confidenceNoEmail confidence filter: high (80+), medium (50-79), low (below 50)
Behavior3/5

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

Without annotations, the description must disclose behavioral traits. It mentions that emails are SMTP-verified with confidence scores, but fails to explain return format, pagination, or any constraints. The tool is apparently read-only, but this is not stated.

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?

The description is concise at two sentences, front-loaded with the main action. No unnecessary words, but could be marginally more structured.

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?

Given the 9 parameters, no required fields, and no output schema, the description covers filters and email verification but lacks guidance on usage boundaries, result handling, or ordering. It is somewhat incomplete for a complex search tool.

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%, so the baseline is 3. The description restates some filter parameters but adds the email confidence score mention. It does not provide additional meaning beyond the schema.

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 action ('Search for people at companies') and specifies the resource. It details filters (title, seniority, department, company attributes) and mentions email verification, differentiating it from sibling tools like 'search_companies' which search for companies.

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?

The description lacks explicit guidance on when to use this tool versus alternatives. It does not mention when not to use it or provide context for selection among siblings.

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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