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CharlieHR MCP by usefulapi

Get team member

charliehr_get_team_member
Read-only

One team member by id with the full profile (contact details, address, office, manager, teams, dates, employment status, job title, notes). Sensitive fields included: date_of_birth, gender, married, personal email, phone, home address and notes. National Insurance numbers (also inside notes), payroll id, starter declaration and student-loan flags are never returned. GET /team_members/{id}.

Input Schema

NameRequiredDescriptionDefault
team_member_idYesCharlie team member id, e.g. team_member_XXX (see charliehr_list_team_members).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Annotations already cover safety (readOnly, non-destructive), and the description goes well beyond them: it enumerates which sensitive fields ARE returned (DOB, gender, marital status, personal email/phone, home address, notes) and explicitly lists fields that are never returned (National Insurance numbers, payroll id, starter declaration, student-loan flags). This is exactly the disclosure an agent needs before handling personal data.

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?

Three compact sentences, front-loaded with the core action and scope, then field disclosure. The field enumeration is long but each clause carries real information; no filler or repetition of annotation data.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must convey what comes back — and it does in detail, including the inclusion/exclusion boundary for sensitive data. For a one-parameter read tool, nothing material an agent needs is missing.

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?

Single parameter with 100% schema description coverage, so the schema already defines the format (team_member_XXX) and points to the listing tool. The description adds no new syntax or constraint beyond restating 'by id', so 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 and resource ('One team member by id with the full profile') plus the underlying endpoint GET /team_members/{id}. It is clearly distinguishable from list-style siblings by the 'by id' scoping, though it never names charliehr_list_team_members as the alternative for browsing/searching.

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?

Usage is implied: fetch a single member when you already have the id (the schema even points to charliehr_list_team_members for obtaining it). There is no explicit when-to-use/when-not guidance or statement about what to do if the id is unknown.

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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