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Homerun MCP Server and API by Cotlet

Send candidate email in Homerun

homerun_send_candidate_email
Read-onlyIdempotent

Send candidate email in the user's own Homerun account from ChatGPT, Claude or any AI agent. Returns how to do it in Homerun step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Homerun Cloud Browser. Homerun's official API: Homerun has a documented Public API, version 2, 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": "homerun_send_candidate_email"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

The description usefully resolves an apparent name/behavior mismatch by stating it 'opens nothing by itself', which aligns with readOnlyHint=true and destructiveHint=false. Beyond that it adds little the annotations don't already cover — no note on whether the steps are scoped to a specific candidate/job, no auth or freshness caveats, no indication of return shape beyond 'step by step'.

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 first two sentences are front-loaded and earn their place, correctly leading with the actual return value rather than the name's claim. The third sentence about Homerun's Public API v2 and the absence of an official MCP server is justification/marketing that does not help an agent select or invoke the tool, and the checked date adds noise.

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, the description covers what to expect (a step-by-step walkthrough) and how to act on it next, which is sufficient to call it correctly. A brief note on whether the walkthrough is generic or targeted at a particular candidate would close the last gap.

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 beyond what the empty schema already states. Baseline score applies.

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 makes clear this tool does not send anything but returns a step-by-step walkthrough of screens, buttons and fields for sending a candidate email in Homerun. That is a specific, actionable purpose and it disambiguates the misleading 'send' verb in the name. It stops short of explicitly contrasting itself with other Homerun tools or the generic app guide.

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 an explicit two-step workflow: call this first for the walkthrough, then execute it with the cotlet_browser_* tools in the user's Homerun Cloud Browser. What's missing is any when-not-to-use condition or named alternative for cases where the agent already knows the flow.

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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