Skip to main content
Glama

BambooHR MCP Server and API by Cotlet

Create onboarding task in BambooHR

bamboohr_create_onboarding_task
Read-onlyIdempotent

Create onboarding task in the user's own BambooHR account from ChatGPT, Claude or any AI agent. Returns how to do it in BambooHR step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's BambooHR Cloud Browser. BambooHR's official API: Yes.

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": "bamboohr_create_onboarding_task"
  }
}

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?

Annotations already declare readOnlyHint=true and destructiveHint=false; the description adds the important behavioral fact that the tool 'opens nothing by itself' and that a human/agent must complete the action through browser tools. It stops short of describing the shape or length of the returned guide, and the 'official API: Yes' clause invites confusion about whether a mutating API call occurs.

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?

Three sentences, reasonably tight, but the front-loaded phrase 'Create onboarding task in the user's own BambooHR account' is the most misleading part of the definition and is only corrected mid-sentence by 'opens nothing by itself'. The closing 'BambooHR's official API: Yes' earns no place — it is neither accurate framing nor actionable for the caller.

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?

With no input schema and no output schema, the description carries the full burden, and it does explain what is returned (screens, buttons, fields) and what is not (no action taken). It omits how the agent should gather the task details, given that the call accepts no parameters at all, which is the main completeness 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 and the baseline is 4. However, with no inputs at all it is unclear what task the guide will cover — the description could have said the specifics come from the conversation rather than from call arguments.

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 verb+resource (create onboarding task) and, crucially, reframes what the tool actually produces: step-by-step instructions rather than a performed action. The trailing 'BambooHR's official API: Yes' is unexplained and muddies the purpose, since the tool apparently does not call the API itself.

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 a concrete workflow: call this to get the screens/buttons/fields, then execute the steps with cotlet_browser_* tools in the BambooHR Cloud Browser. It does not state when NOT to use it or how it relates to the other bamboohr_* siblings, so the routing is clear for the follow-up but not for alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources