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huebnermarketing

keka-mcp-server

Get Keka Employee Details

keka_get_employee
Read-onlyIdempotent

Fetch a single employee's complete profile by Keka employee ID, including personal info, department, job title, manager, location, and employment details.

Instructions

Retrieve full details for a single employee by their Keka employee ID.

Args:

  • employeeId (string, required): The Keka employee ID (use keka_list_employees to find IDs)

  • response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: Complete employee profile including personal info, department, job title, manager, location, and employment details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
employeeIdYesKeka employee ID (e.g., 'abc123')
response_formatNoOutput format: 'markdown' for human-readable, 'json' for machine-readablemarkdown

Schema Changelog

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

  1. First observedv1.0.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations by specifying the output format option and summarizing the returned employee profile contents.

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 and well-structured with a clear first sentence, an Args section, and a Returns section. It repeats some schema information, but the important operational hint and return summary are front-loaded and every section earns its place.

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?

For a simple 2-parameter read tool with no output schema, the description is complete: it explains the purpose, the required parameter source, the optional format, and the contents of the returned employee profile. Safety is already covered by annotations.

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%, so the baseline is 3, but the description adds value by explaining that employeeId can be discovered via keka_list_employees and by clarifying the response_format default and its human/machine readability. This goes beyond the schema's property definitions.

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 opening sentence uses a specific verb ('Retrieve') with a clear resource ('full details for a single employee') and the key identifier (Keka employee ID). This clearly distinguishes it from the sibling list tools and other getters like get_leave_balances and get_attendance.

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 tells the agent to use keka_list_employees to find the required employeeId, providing a concrete prerequisite. It does not explicitly state when not to use this tool, but the single-employee scope makes the intended context clear among the 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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