Skip to main content
Glama

Stop the timer

clockify_stop_timer

Stops the running timer and returns the finished time entry with its duration. Ends active tracking and provides the exact time spent for accurate logs.

Instructions

Stops the running timer and returns the finished entry with its duration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoWhen it stopped; default now
user_idNoUser id, or `me` (default) for the owner of the API key.
workspace_idNoWorkspace id. Falls back to CLOCKIFY_WORKSPACE_ID, then to the account's active workspace.
Behavior3/5

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

Annotations already indicate this is a mutating action (readOnlyHint=false). The description adds that it returns the finished entry with its duration, but does not disclose behavior for edge cases like no running timer or the impact of the end parameter. This is some added context but leaves gaps.

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?

The description is a single, focused sentence that front-loads the action and outcome. It contains no filler or redundant information, making it exceptionally concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple stop action with three optional parameters, the description covers the essential behavior and explicitly states the return value (finished entry with duration). Edge cases like no running timer are not specified but are not critical for basic usage, and the schema and annotations cover the rest.

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?

The input schema provides full descriptions for all three parameters (end, user_id, workspace_id), including defaults. The tool description does not add parameter-specific meaning, so the baseline of 3 is appropriate given 100% schema coverage.

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?

The description explicitly states the tool stops the running timer and returns the finished entry with its duration. This clearly distinguishes it from siblings like clockify_start_timer and clockify_current_timer.

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?

The description makes clear when to use it (when a timer is running), but it does not explicitly mention alternatives or exclusions, such as checking the current timer via clockify_current_timer first. This is adequate context without being fully explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/amalychev/clockify-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server