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Log time

log_time

Log the caller's own time on a task for one day. At most 24 hours per day in total, not on a future day, note up to 500 characters. Any team role, on any task in the workspace. Pro plan only (a Free workspace gets a plan-limit message).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe day worked, yyyy-MM-dd
noteNoWhat was done (optional)
taskIdYesTask id
minutesYesMinutes worked (e.g. 90 for 1h30)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the annotations (which only say non-readonly, non-destructive, non-idempotent) by disclosing the hard constraints an agent would otherwise trip over: 24 hours per day total, no future dating, 500-character note limit, and plan-gating that surfaces a plan-limit message. This is exactly the kind of precondition detail annotations cannot carry.

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?

Four short sentences, front-loaded with what the tool does before the constraints. No filler, and every clause carries a rule or scope fact.

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?

Complete for a small creation tool with full schema coverage: everything needed to call it successfully, including limits and plan requirements, is present. Minor gap is that it does not state what happens on success or how to correct a mistaken entry.

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?

Schema coverage is 100%, so the baseline is 3; the description earns above that by adding validation semantics the schema lacks: the note length cap, the per-day hour ceiling, and the no-future-date rule, all of which constrain the 'minutes', 'note', and 'date' parameters.

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?

States a specific verb (log) and resource (time on a task), plus the crucial scoping detail that it is the caller's own time rather than someone else's. That distinguishes it from sibling mutations like update_time_entry and delete_time_entry without needing to open a schema.

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?

Gives clear usage context: any team role, any task in the workspace, Pro plan only, with the consequence for Free workspaces spelled out. It stops short of naming the alternative tools (update_time_entry / delete_time_entry) for correcting or removing an existing entry, so the agent must infer that this tool only creates.

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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