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time_report

Retrieve aggregated time statistics per activity type for a date range, including overall totals and daily, weekly, or monthly breakdowns.

Instructions

Aggregated time statistics per activity type for a date range. Returns overall totals plus per-DAY/WEEK/MONTH buckets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date yyyy-MM-dd, inclusive
fromNoStart date yyyy-MM-dd (use with `to`)
tagsNoFilter to these tags
periodNoNamed period; alternative to explicit from/to
group_byNoBucket size for the periods breakdown (default DAY)
timezoneNoIANA timezone (default: user's timezone)
type_idsNoFilter to these exact activity type ids (internal — never show ids to the user)
type_namesNoFilter to these activity type names (groups allowed)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the output format (totals and buckets) but does not explicitly state read-only behavior, data source, or edge cases. It adds some behavioral context but not comprehensive transparency.

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?

Two sentences totaling 19 words, front-loaded with the core purpose and output structure. No redundant information, every sentence earns its place.

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

Completeness3/5

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

With 8 parameters and no output schema, the description is somewhat sparse. It does not explain how to use from/to vs period, filtering by tags/type_ids/type_names, or the exact structure of returned data, leaving gaps for a tool of this complexity.

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%, so baseline is 3. The description does not add extra meaning to parameters; it only hints at date range and bucket size, which are already documented in the schema.

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?

The description clearly states the tool provides 'Aggregated time statistics per activity type for a date range' and 'Returns overall totals plus per-DAY/WEEK/MONTH buckets'. This specifies a concrete resource and action, distinguishing it from sibling tools like list_intervals which return raw intervals.

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?

The description implies usage for aggregated time statistics but does not explicitly state when to use this tool over siblings or mention exclusions/alternatives. There is no guidance on when not to use it.

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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