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Clockify MCP by usefulapi

List project tasks

clockify_list_tasks
Read-only

List the tasks of a project (id, name, status, assignees, estimate, duration tracked). GET /v1/workspaces/{workspaceId}/projects/{projectId}/tasks.

Input Schema

NameRequiredDescriptionDefault
nameNoOnly tasks whose name contains this text.
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
is_activeNotrue = only active tasks, false = only done tasks. Default: both.
page_sizeNoResults per page, 1-200 (default 50).
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

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so safety is covered. The description adds real value beyond them by disclosing the endpoint (GET) and the shape of the result (id, name, status, assignees, estimate, duration tracked), which is important because no output schema exists. It omits pagination behavior and any rate-limit or permission notes, keeping it from a 5.

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 tight sentences that front-load the core action and the returned fields, followed by the endpoint for reference. Nothing is padded and nothing needs to be re-read.

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 simple read-only list tool with 100% schema coverage, full annotations and no output schema, the description covers scope, returned fields and the endpoint, which is close to sufficient. The one gap is that it says nothing about the filtering options or pagination flow, leaving that entirely to the schema.

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%, including filter semantics for name, is_active, page and page_size, so the schema carries the parameter burden. The description adds no additional parameter meaning (it never mentions the name or is_active filters), 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+resource ('List the tasks of a project') and even enumerates the fields returned, which clearly separates it from clockify_create_task or clockify_get_project. It stops short of naming a sibling or scope boundary explicitly, so it is clear but not maximally differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-tool guidance. The only hint is the required project_id, which merely restates that the tool is scoped to one project; an agent gets no help choosing between this and language-adjacent siblings such as clockify_get_project or clockify_list_projects.

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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