Skip to main content
Glama

start_timer

Start tracking work time in Clockify by creating a running timer with optional project and task details for accurate time management.

Instructions

Start a timer for the current user. Creates a running time entry without an end time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesDescription of what you're working on
project_nameNoOptional: project name to associate with the timer
task_nameNoOptional: task name within the project (requires project_name)
workspace_idNoWorkspace ID (optional, uses default workspace if not provided)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool 'creates a running time entry without an end time', which implies a write operation, but lacks details on permissions, rate limits, error handling, or what happens if a timer is already running. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and every part earns its place, making it highly concise and well-structured.

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

Completeness2/5

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

Given that this is a mutation tool with no annotations and no output schema, the description is insufficient. It lacks information on behavioral traits, error conditions, return values, and how it interacts with sibling tools. For a tool that modifies state, more context is needed to ensure safe and correct usage.

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 has 100% description coverage, so the schema already documents all parameters thoroughly. The description does not add any additional meaning or context beyond what the schema provides, such as explaining interdependencies (e.g., task_name requires project_name) or usage examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

The description clearly states the action ('Start a timer') and the resource ('for the current user'), specifying that it creates a running time entry without an end time. However, it does not explicitly differentiate from sibling tools like 'stop_timer' or 'add_time_entry', which would require more specific scope or usage context.

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?

The description provides no guidance on when to use this tool versus alternatives such as 'stop_timer' or 'add_time_entry', nor does it mention prerequisites or exclusions. It simply states what the tool does without contextual usage information.

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/KeithHanson/clockify-mcp'

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