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PeopleHR MCP Server and API by Cotlet

Run saved query in PeopleHR

peoplehr_run_saved_query
Read-onlyIdempotent

Run saved query in the user's own PeopleHR account from ChatGPT, Claude or any AI agent. Returns how to do it in PeopleHR step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's PeopleHR Cloud Browser. PeopleHR's official API: PeopleHR has a REST API, the Access PeopleHR Integration API v4.0, but no official MCP server (checked 22 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": "peoplehr_run_saved_query"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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, idempotentHint=true, destructiveHint=false, and the description is consistent with them, adding genuinely new behavior: the output is instructional rather than an executed action, and nothing is opened or changed as a side effect. Mentioning that no official MCP server exists frames why guidance is returned instead of an API call. It does not describe the shape or length of the returned instructions, but the core behavioral surprise an agent would otherwise hit is disclosed.

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

Conciseness3/5

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

The operative guidance is front-loaded in the first sentence, which is good, but the trailing sentence about the Access PeopleHR Integration API v4.0 and the 'checked 22 Oct 2026' date is tangential to selecting or invoking the tool. The long compound sentence mixing return format, side-effect disclaimer, and follow-on tools could be split for faster parsing.

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 zero-parameter, read-only guidance tool with no output schema, the description covers what an agent needs: what comes back (step-by-step screens, buttons, fields), that no action occurs server-side, and which tools execute the procedure. The only gap is any hint about the volume or structure of the returned instructions, which is minor given no output schema exists.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies that the target account is inferred from the user's session ('the user's own PeopleHR account') rather than passed as an argument, which is the only implicit input of consequence.

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

Purpose4/5

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

The description states a specific outcome — return step-by-step PeopleHR instructions (screens, buttons, fields) for running a saved query — and explicitly disclaims the action implied by the tool name ('opens nothing by itself'). That clarification is essential, since a name like run_saved_query would otherwise read as executing the query. It is slightly self-undercutting (a tool named 'run' that does not run anything), costing a point on crispness of purpose.

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 gives clear workflow context: call this to learn the procedure, then perform it with cotlet_browser_* tools in the PeopleHR Cloud Browser. That names the follow-on tool family and the condition for using it. It does not say when to prefer this over sibling PeopleHR data tools (peoplehr_list_employees, peoplehr_list_holiday_requests) or when this approach is unnecessary, so it stops short of full when/when-not guidance.

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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