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List employees

deputy_list_employees
Read-only

Search employees by name, location or active status. Returns Id, DisplayName, Company (main location), Active, StartDate, Role and more. Deputy: POST /api/v1/resource/Employee/QUERY.

Input Schema

NameRequiredDescriptionDefault
maxNoPage size, 1-500 (Deputy's cap). Default 100.
startNoPagination offset (0-based). Pass the previous page's next_start.
activeNotrue = current staff only; false = terminated/inactive only.
location_idNoOnly employees whose main location is this Company id.
name_containsNoOnly employees whose DisplayName contains this text.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds genuinely useful context by enumerating the returned fields (Id, DisplayName, Company, Active, StartDate) and citing the underlying Deputy QUERY endpoint, though it says nothing about rate limits or pagination semantics beyond what the schema carries.

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 short front-loaded sentences with no filler; the API-endpoint note is arguably cosmetic but still earns its place as Deputy-specific context. Nothing else is wasted.

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?

With no output schema, the description shoulders the burden of explaining return values and does so with a concrete field list plus 'and more'. Combined with a fully documented schema and a readOnly annotation, this is nearly complete; only pagination expectations are left implicit.

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 description coverage is 100%, and the schema documents caps, offset semantics and each filter precisely. The description's phrase 'by name, location or active status' maps loosely onto three parameters but adds no syntax or format detail beyond the schema, 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?

States a specific verb (search/list) and resource (employees) plus the filterable dimensions (name, location, active status). An agent can distinguish it from the singular sibling deputy_get_employee without opening either schema.

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 filter list implies when the tool is useful (bulk retrieval with filtering), but it never states when to prefer it over deputy_get_employee or deputy_query_resource, nor any prerequisites. Usage is inferred rather than guided.

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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