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Deputy MCP Server and API by Cotlet

List employees in Deputy

deputy_list_employees
Read-onlyIdempotent

List employees in the user's own Deputy account from ChatGPT, Claude or any AI agent. Returns how to do it in Deputy step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Deputy Cloud Browser. Deputy's official API: Yes, Deputy has a full REST API, but no official MCP server (checked 20 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "deputy_list_employees"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already cover safety (readOnlyHint=true, destructiveHint=false, openWorldHint=false), and the description usefully adds that it "opens nothing by itself" — important because the name suggests a data fetch. However, the tension between the name and the stated instruction-returning behavior is never resolved, and the API-availability sentence adds nothing about how the tool behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The operative content is one clause (returns step-by-step instructions, opens nothing), wrapped in vendor name-dropping ("from ChatGPT, Claude or any AI agent") and a dated API-availability aside ("checked 20 Oct 2026") that does not help an agent invoke the tool. Roughly half the text is filler.

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 zero-param, no-output-schema tool with annotations, the description does supply the key facts: it returns a guide rather than data, and browser tools execute it. It omits what the returned guide contains in general (static per-app instructions vs. account-specific) and leaves the name/behavior ambiguity unresolved.

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?

Zero parameters with 100% schema coverage, so there is nothing for the description to disambiguate; the baseline of 4 applies. No parameter guidance is needed or given.

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 verb+resource ("List employees in the user's own Deputy account") is specific, but the very next clause redefines the output as "how to do it in Deputy step by step (screens, buttons, fields)". An agent cannot tell from the description whether this returns employee data or a procedural guide, which is a material ambiguity for a tool named list_employees.

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?

It explicitly states the follow-up workflow: call this, then "do it with the cotlet_browser_* tools in the user's Deputy Cloud Browser", and scopes usage to the user's own account. It stops short of stating when NOT to use it or how it relates to deputy_list_shifts/deputy_list_timesheets, so it is not a full routing guide.

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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