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Start a running timer

keeping_start_timer
Destructive

Start a new running timer. Use dry-run to preview the entry, then confirm with human approval to log it.

Instructions

Start a new ongoing time entry (a running timer). Implemented as POST /{orgId}/time-entries with start set and NO end / NO hours — Keeping interprets the omission of end as 'this entry is ongoing'. Returns { timer_id } on success; use this id with keeping_stop_timer or keeping_resume_timer. DRY-RUN BY DEFAULT — call without confirm first to receive a would_post preview; call again with confirm: true ONLY after a human reviewed the preview. start defaults to the current time in Europe/Amsterdam; purpose defaults to 'work'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
startNoHH:mm in org timezone; defaults to the current time in Europe/Amsterdam when omitted.
confirmNoSet to true ONLY after a human has reviewed the would_post preview returned by a prior dry-run call. The MCP client (LLM) MUST NOT set this autonomously — wait for the human to type 'yes' / 'confirm'.
purposeNoTime-entry category. Maps to Keeping's purpose enum; billable status is determined at the project level.work
task_idNo
project_idNo
organisation_idNoOverride KEEPING_ORG_ID; required for multi-org tokens.
Behavior5/5

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

Discloses that the tool creates a running timer via POST, omitting end/hours to indicate ongoing status. Aligns with annotations (destructiveHint=true, readOnlyHint=false). No contradictions.

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?

Brief three sentences covering purpose, API details, workflow, and defaults with no unnecessary words.

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?

Given 7 parameters, no output schema, and annotations, the description covers the workflow, defaults, and purpose, leaving no critical gaps for agent understanding.

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?

Adds meaning for start (defaults to Europe/Amsterdam current time) and purpose (defaults to 'work'), and explains confirm's role. However, doesn't cover note, task_id, project_id, organisation_id beyond schema, which have 57% 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?

Clearly states the tool starts a running timer, describes the HTTP POST implementation, and distinguishes from siblings like keeping_stop_timer and keeping_resume_timer by specifying the returned timer_id.

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

Usage Guidelines5/5

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

Explicitly explains the dry-run default workflow: call without confirm first to get a preview, then with confirm true only after human review. Also directs to use the resulting timer_id with stop/resume tools.

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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