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Clockify MCP by usefulapi

List projects

clockify_list_projects
Read-only

List the projects of a workspace: id, name, client, billable, public, color, archived, duration tracked, estimate and rates. Filter by name, client, user, billable or archived. GET /v1/workspaces/{workspaceId}/projects.

Input Schema

NameRequiredDescriptionDefault
nameNoOnly projects whose name contains this text.
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
archivedNotrue = only archived projects. Default: archived and active.
billableNotrue = only billable projects. Default: all.
hydratedNotrue = include more detail (custom fields, memberships, estimates).
user_idsNoOnly these users (projects these users are members of) (ids).
page_sizeNoResults per page, 1-200 (default 50).
client_idsNoOnly these clients (ids).
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
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the concrete endpoint (GET /v1/workspaces/{workspaceId}/projects) and the workspace scoping, but says nothing about pagination limits or the cost of hydrated=true. With annotations carrying the safety burden, this is adequate but thin.

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?

Three tight segments — purpose plus returned fields, filter dimensions, then the endpoint — with no filler or redundancy. Front-loaded with the core verb+resource before the filter detail.

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 nine optional params and no output schema, the description usefully enumerates the response fields, compensating for the missing output schema. It falls short only on pagination behavior and what hydrated=true costs, which an agent would need before relying on this for large workspaces.

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 coverage is 100%, so all nine parameters are already documented with defaults and constraints. The description's filter list roughly restates name/client/user/billable/archived and omits hydrated, page and page_size, so it adds essentially nothing beyond the structured schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List the projects of a workspace') and enumerates the fields returned, which immediately separates it from clockify_get_project (single project) and the create_* siblings. An agent can identify the tool's scope without opening the schema.

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 names the filterable dimensions ('Filter by name, client, user, billable or archived'), which implies the discovery use case, but never states when to reach for this versus clockify_get_project or clockify_list_workspaces for resolving a workspace id. No exclusions or prerequisites are given; usage is only implied.

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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