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Clockify MCP by usefulapi

Get a project

clockify_get_project
Read-only

One project by id: name, client, billable, color, note, estimate, duration tracked, rates and memberships. GET /v1/workspaces/{workspaceId}/projects/{projectId}.

Input Schema

NameRequiredDescriptionDefault
hydratedNotrue = include more detail (custom fields, estimates).
project_idYesProject id (from clockify_list_projects).
workspace_idNoWorkspace id (from clockify_list_workspaces). Default: your active workspace.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the returned field set and the underlying endpoint, but says nothing about auth, hydration behavior beyond the schema flag, or rate limits. With annotations carrying the safety burden, this is adequate but not rich.

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?

A single dense sentence front-loads the resource and its returned fields, then gives the endpoint. Nothing is wasted, though the field enumeration is slightly long for the space it occupies.

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?

With no output schema, the description compensates by listing the returned fields, which is exactly what an agent needs for a read tool. Coverage of return data is good; minor gaps around hydrated behavior and sibling routing remain.

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%, so all three parameters (including the hydrated flag and default active workspace) are already documented in the schema. The description adds no parameter-level meaning beyond that, which is the correct baseline when the schema does the work.

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 (get) and resource (project) and clarifies it is 'One project by id', implicitly distinguishing it from clockify_list_projects. It also enumerates the returned fields, so an agent knows exactly what it yields. It stops short of explicitly naming the list sibling as the alternative.

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?

The phrase 'One project by id' implies when to use it (single-resource lookup), and the field list signals read usage, but there is no explicit when-to-use vs. clockify_list_projects or any prerequisites. Usage is implied rather than stated.

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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