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Clockify MCP by usefulapi

Create a project

clockify_create_project

WRITE: create a project in a workspace (needs an admin or project-manager role, depending on workspace settings). POST /v1/workspaces/{workspaceId}/projects.

Input Schema

NameRequiredDescriptionDefault
nameYesProject name, 2-250 characters (unique per client).
noteNoProject note.
colorNoColor, #RRGGBB.
billableNoBillable by default.
client_idNoClient id (from clockify_list_clients).
is_publicNoVisible to the whole workspace. Default false: the project is private (visible to its members only).
workspace_idNoWorkspace id (from clockify_list_workspaces). Default: your active workspace.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint false, idempotentHint false, destructiveHint false, openWorldHint true), so the bar is lower, and the description still adds the role/permission requirement and the raw HTTP endpoint. It does not mention rate limits or that non-idempotent retries can create duplicate projects, but it adds solid context beyond the annotations.

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

Conciseness5/5

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

Two dense, front-loaded sentences: the write intent and permission requirement come first, then the endpoint. Nothing is redundant or padded.

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 seven-parameter write tool with no output schema, the description covers the operation, the required privilege, and the endpoint. It would be stronger if it mentioned what the response contains (the created project object/id), but otherwise an agent has what it needs to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and all seven parameters are documented in the schema, including uniqueness per client, color pattern, and workspace default behavior. The description adds no parameter-level detail beyond that, so the baseline 3 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?

States a specific verb and resource ('create a project in a workspace') and reinforces it with the literal endpoint POST /v1/workspaces/{workspaceId}/projects, so there is no ambiguity about what the call does. It does not explicitly contrast itself with the other create_* siblings, but the resource is distinct enough that differentiation is easy.

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 genuine prerequisite (admin or project-manager role, workspace-dependent), which is real usage guidance. However it never says when to prefer this over e.g. checking clockify_list_projects first, nor what to do on a duplicate-name conflict, so guidance is implied rather than explicit.

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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