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Recruiterflow MCP Server and API by Cotlet

List candidates in Recruiterflow

recruiterflow_list_candidates
Read-onlyIdempotent

List candidates in the user's own Recruiterflow account from ChatGPT, Claude or any AI agent. Returns how to do it in Recruiterflow step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Recruiterflow Cloud Browser. Recruiterflow's official API: Recruiterflow has an API, but its keys are not self-serve: you ask Recruiterflow support for a key tied to your workspace (checked 23 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": "recruiterflow_list_candidates"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

The description adds material context beyond the annotations: it explicitly says the tool "opens nothing by itself" (consistent with readOnlyHint=true and destructiveHint=false) and reveals that its output is a screen-by-screen procedure rather than data, which an agent could not infer from the schema. The note on API keys not being self-serve explains why the browser path exists. It stops short of describing the shape or length of the returned instructions, so not a 5.

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 key correction — that this returns instructions and opens nothing — is stated early, ahead of the follow-up browser instructions. The closing sentence on API key availability is somewhat tangential and slightly bloats an otherwise tight definition, though it does justify the browser approach.

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, no-output-schema guidance tool this is close to sufficient: an agent learns what it gets back, that it has no side effects, and which tools to use next. Missing is any notion of what the returned steps look like in practice or what to do if the workflow has changed.

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; baseline 4 applies. The prose about the Recruiterflow Cloud Browser context is helpful framing but does not function as parameter semantics.

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 names a specific resource and scope ("List candidates in the user's own Recruiterflow account") and, crucially, corrects the likely misreading of the name by stating the tool returns step-by-step instructions rather than candidate data. What it does not do is separate itself from the near-identical sibling recruiterflow_list_job_candidates or explain how "list candidates" differs from listing candidates for a specific job.

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?

It gives a clear workflow: call this to get steps, then execute them with cotlet_browser_* tools in the Cloud Browser. That is real usage guidance for the follow-up. However, it never states when to prefer a sibling such as recruiterflow_list_job_candidates or recruiterflow_get_candidate, and offers no exclusion conditions.

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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