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Find employees

find_people
Read-only

Employees: name, position, department, manager, hire date, probation end, status. Filter by a name or position fragment, a department, a status.

Input Schema

NameRequiredDescriptionDefault
queryNoA part of the name or the position
statusNoDefault active
departmentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds value by enumerating the fields returned, which partly substitutes for the missing output schema, but says nothing about result limits, sorting, or match behavior.

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?

Two short sentences with no padding. It is front-loaded, though the opening field list is less actionable up front than a plain statement of what the tool does would have been.

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?

For a 3-optional-parameter lookup tool with annotations and no output schema, listing returned fields is a reasonable completeness move. However, missing mention of matching semantics and result-size behavior leaves gaps for an agent calling it.

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 67%: `query` and `status` are documented in the schema, while `department` is only implied by the trailing sentence 'Filter by ... a department'. Baseline 3 applies; the description adds little beyond the schema and does not explain the `all` status option or the 'active' default's effect.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description never states a verb or explicitly says it searches/lists employees; it opens with a bare field list ('Employees: name, position, department...'). Combined with the name and title, the intent is inferable, but the description alone only hints at the purpose and does not distinguish it from siblings like `pending` or `probation_ending`.

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 describes what can be filtered but gives no guidance on when to use this tool versus siblings such as `probation_ending` or `hiring`, nor any prerequisite or exclusion. An agent must guess the routing.

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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