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get_data_by_time

Retrieves analytics data grouped by day, week, month, quarter, or year for specified metrics and date range.

Instructions

Get data for specific time periods grouped by day/week/month/quarter/year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
counter_idYesCounter ID
metricsYesMetric names (max 20), e.g. ['ym:s:visits']
date_fromNoStart date YYYY-MM-DD
date_toNoEnd date YYYY-MM-DD
dimensionsNoDimension names (max 10)
groupNoTime grouping: day|week|month|quarter|yearday
top_keysNoNumber of top results (1-30)
timezoneNoTimezone offset, e.g. +03:00

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description should disclose behavioral traits like read-only or rate limits. It only states the basic function, lacking depth on what happens with parameters or limitations.

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, front-loaded sentence with no wasted words. It is maximally concise.

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 8 parameters, many siblings, and an output schema, the description is too brief. It does not explain how grouping interacts with other parameters or what the output contains.

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 coverage is 100%, so all parameters have descriptions. The description adds no extra meaning beyond the schema, achieving the baseline of 3.

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 tool retrieves data aggregated by time periods (day/week/month/quarter/year). It differentiates from siblings like get_visits by emphasizing time grouping, but could be more specific about the type of data.

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?

No guidance on when to use this tool versus alternatives like get_visits or get_drilldown. The description does not mention prerequisites or exclusions.

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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