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Bamboohr Get Employee

bamboohr_get_employee
Read-onlyIdempotent

Get detailed employee info by ID (e.g., "12345"). Specify fields like firstName, lastName, email, department. Returns requested data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesEmployee ID
fieldsYesComma-separated field names (e.g., "firstName,lastName,department,jobTitle,workEmail")
_apiKeyYesBambooHR API key
_subdomainYesBambooHR subdomain

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "description": "Detailed employee information",
      +  "type": "object"
      +}
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "_apiKey": "your-bamboohr-api-key",
      +    "_subdomain": "mycompany",
      +    "fields": "firstName,lastName,email,department,jobTitle",
      +    "id": 12345
      +  }
      +]
  3. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read-only nature is covered. The description adds 'Returns requested data,' which is consistent with annotations, but does not provide additional context such as rate limits or error handling. No contradiction with annotations.

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 two sentences, front-loaded with the main purpose, and includes a concrete example. Every sentence earns its place with no filler or redundant content.

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 simple read-only lookup tool, the description is sufficient. The output schema and parameter schema provide complete detail, and annotations cover safety. It lacks explicit alternative guidance, but the tool's simplicity makes this acceptable.

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?

The input schema already describes all four parameters with examples and specifications. The description repeats some of this (e.g., fields like firstName, lastName) but adds no new semantic meaning beyond what the schema provides. Schema coverage is 100%, so baseline 3 applies.

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 uses a specific verb ('Get') with a clear resource ('detailed employee info') and an explicit identifier ('by ID'). It provides example field values and differentiates from sibling tools like list functions by emphasizing single-employee lookup.

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?

The description implies usage for single-employee lookups when an ID is known, but it does not explicitly state when to use this tool versus alternatives like bamboohr_list_employees or bamboohr_get_directory. No exclusions or alternative names are mentioned.

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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