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zins_get_web_traffic_by_location

Read-only

Retrieve web traffic analytics grouped by location, including volume and bandwidth, to compare office traffic patterns. Specify time range and measurement unit.

Instructions

Provides web traffic analytics grouped by location, including traffic volume, bandwidth usage, and office traffic comparisons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_days_agoNoDays ago for start. Default: 9 (7-day interval with end=2). API requires intervals of exactly 7 or 14 days. For 14-day use 16.
end_days_agoNoDays ago for end. Default: 2. Interval = start - end must be 7 or 14.
start_timeNoALTERNATIVE: Start time as Unix epoch in MILLISECONDS. Only use if you need a specific timestamp. Overrides start_days_ago.
end_timeNoALTERNATIVE: End time as Unix epoch in MILLISECONDS. Only use if you need a specific timestamp. Overrides end_days_ago.
traffic_unitNoTraffic measurement unit. Values: TRANSACTIONS, BYTESTRANSACTIONS
include_trendNoInclude trend data showing traffic patterns over time.
trend_intervalNoTrend interval for time series data. Values: DAY, HOUR. Only applicable when include_trend=True.
limitNoMaximum number of location entries to return (1-1000).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's statement of providing analytics adds minimal extra transparency. It does not disclose potential side effects, authentication requirements, or rate limits, but does not contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads the core purpose. It wastes no words but could be slightly more informative about default behavior without losing conciseness.

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?

While the schema covers parameters, the description does not mention important contextual details like the default date range (start_days_ago=9, end_days_ago=2) or the interval constraint (7 or 14 days). Given the tool's complexity and many siblings, more context would improve completeness.

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?

The input schema has 100% parameter description coverage, so the description does not need to add parameter details. However, it could have summarized key parameters (e.g., required intervals) to help the agent, but it does not, sticking to a generic overview.

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 web traffic analytics grouped by location, with specific data points like traffic volume and bandwidth usage. It distinguishes from sibling tools such as zins_get_web_traffic_no_grouping by explicitly mentioning location grouping.

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?

The description lacks any guidance on when to use this tool versus alternatives. It does not mention suitable contexts, prerequisites, or exclusions, leaving the agent to infer usage from the tool name alone.

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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