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Timesheet

timesheet
Read-onlyIdempotent

Your logged time between two days (default: this week so far), per day and per item, with totals and entry ids for edit_time_entry. Also says whether a timer is running now.

Input Schema

NameRequiredDescriptionDefault
toNoYYYY-MM-DD or "today", inclusive. Default: today.
fromNoYYYY-MM-DD or "today". Default: start of this week.

Output Schema

NameRequiredDescriptionDefault
toYesLast day, YYYY-MM-DD.
daysYesOne row per day with its entries.
fromYesFirst day, YYYY-MM-DD.
perItemYesMinutes per item key.
runningNoThe running timer, or null. In another workspace it carries only that workspace's name and since.
totalMinutesYesMinutes logged in the range.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / running / description
      Previous value: -"The running timer, or null."New value: +"The running timer, or null. In another workspace it carries only that workspace's name and since."
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description still adds real behavioral context: that results are grouped per day and per item, that totals are included, and that a currently running timer is reported. That is meaningful extra information beyond what the annotations provide.

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?

A single tight sentence that front-loads the primary resource and scope, then layers the output shape and the downstream id usage without waste. Every clause earns its place.

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 read-only report tool, the description covers scope, defaults, result grouping, totals, the timer-state signal, and the practical link to edit_time_entry, while annotations cover safety and an output schema covers return structure. An agent has everything needed to select and call it correctly.

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?

Schema description coverage is 100%, with both date parameters fully documented including accepted formats and defaults, so the schema carries the parameter burden. The description restates the two-day range and its default but adds no format or edge-case detail beyond the schema, which is the expected baseline.

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 states a concrete resource and scope: the caller's logged time between two days, broken out per day and per item, with totals and entry ids. It is clearly a reporting/read tool and even names edit_time_entry as the downstream consumer of the returned ids, though it does not explicitly distinguish itself from a potentially similar sibling such as my_work.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the default range (this week so far) and the mention that entry ids can be fed to edit_time_entry hint at when the tool fits. There is no explicit when-to-use/when-not-to-use guidance or comparison against alternatives like my_work or log_time.

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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