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Hubstaff MCP Server and API by Cotlet

Create project in Hubstaff

hubstaff_create_project
Read-onlyIdempotent

Create project in the user's own Hubstaff account from ChatGPT, Claude or any AI agent. Returns how to do it in Hubstaff step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Hubstaff Cloud Browser. Hubstaff's official API: Hubstaff has a full REST API, API v2, with read and write scopes, and an official MCP server that is read-only (checked 17 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": "hubstaff_create_project"
  }
}

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?

The description explains the apparent paradox of a readOnlyHint=true tool named 'create_project': it 'returns how to do it... and opens nothing by itself,' so the agent understands it is an instruction-fetching call, not a mutation. That is genuine added context beyond the annotations. It is weaker on what the returned guide actually contains (format, length, whether project-specific inputs are required), which matters since there is no output schema.

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 core two sentences earn their place and are reasonably front-loaded. The trailing sentence about Hubstaff's REST API v2 and its read-only official MCP server is tangential to invoking this tool, reads as background marketing, and includes a dated verification stamp that does not help an agent decide or call.

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, safe-read tool with no output schema, the definition covers what the tool does, that it has no side effects, and what to do next. The only gap is a description of the returned guide's structure or whether the agent must pass user intent along in some other way before the browser steps are usable.

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 applies. The description implicitly confirms no arguments are needed before returning the guide, but adds no further parameter meaning.

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 ('project in the user's own Hubstaff account') and then clarifies that the tool returns a step-by-step guide rather than performing the creation. That clarification is what stops the name from being misleading, but it arrives only in the second sentence, so the initial read ('Create project') briefly suggests a write action that the tool does not perform.

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 tool to get the screens/buttons/fields, then perform the action with the cotlet_browser_* tools in the user's Hubstaff Cloud Browser. It does not state when not to use it (e.g., if the user wants the project created via API instead), but the sequencing guidance is concrete and actionable.

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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