Skip to main content
Glama

toggl_stop_timer

Stop the currently running timer in Toggl Track to end time tracking sessions and update work logs.

Instructions

Stop the currently running timer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The main handler logic for the 'toggl_stop_timer' tool. It checks if there's a currently running timer, stops it using the TogglAPI, hydrates the entry with cached data (project/workspace names), and returns a formatted JSON response.
    case 'toggl_stop_timer': {
      const current = await api.getCurrentTimeEntry();
      
      if (!current) {
        return {
          content: [{
            type: 'text',
            text: JSON.stringify({ 
              success: false,
              message: 'No timer currently running' 
            })
          }]
        };
      }
      
      const stopped = await api.stopTimer(current.workspace_id, current.id);
      
      await ensureCache();
      const hydrated = await cache.hydrateTimeEntries([stopped]);
      
      return {
        content: [{
          type: 'text',
          text: JSON.stringify({ 
            success: true,
            message: 'Timer stopped',
            entry: hydrated[0] 
          }, null, 2)
        }]
      };
    }
  • The tool definition including name, description, and input schema (no parameters required). This is used for tool listing and validation.
    {
      name: 'toggl_stop_timer',
      description: 'Stop the currently running timer',
      inputSchema: {
        type: 'object',
        properties: {},
        required: []
      },
    },
  • Supporting utility method in TogglAPI class that stops a timer by updating the time entry with the current timestamp via the Toggl API PUT request.
    async stopTimer(workspaceId: number, timeEntryId: number): Promise<TimeEntry> {
      const now = new Date().toISOString();
      return this.updateTimeEntry(workspaceId, timeEntryId, { stop: now });
    }
  • src/index.ts:386-388 (registration)
    Registration of the tool list handler, which returns the tools array containing 'toggl_stop_timer' when clients query available tools.
    server.setRequestHandler(ListToolsRequestSchema, async () => {
      return { tools };
    });
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 states the action ('Stop') but doesn't describe what happens after stopping (e.g., does it save the entry, require confirmation, or have side effects like notifications). This is a significant gap 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, direct sentence with zero waste—it states exactly what the tool does without unnecessary words. It's appropriately sized and front-loaded, making it highly efficient for quick understanding.

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 the tool's complexity (a mutation with no annotations and no output schema), the description is incomplete. It lacks details on behavioral outcomes, error conditions, or what the tool returns, which are crucial for an agent to use it correctly in context with siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't mention parameters, aligning with the schema. A baseline of 4 is applied since the schema fully covers the absence of parameters.

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 ('Stop') and the target resource ('the currently running timer'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'toggl_get_current_entry' which might provide status information without stopping, though the verb 'stop' implies a distinct action.

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. It doesn't mention prerequisites (e.g., that a timer must be running), exclusions, or relationships with siblings like 'toggl_start_timer' or 'toggl_get_current_entry', leaving usage context unclear.

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/verygoodplugins/mcp-toggl'

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