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get_dns_analytics_bytime

Get DNS query analytics for a Cloudflare zone grouped by time interval. Returns time-series data points (grouped by time_delta) for spotting trends and spikes.

Instructions

Get DNS query analytics for a Cloudflare zone grouped by time interval. Returns time-series data points (grouped by time_delta) for spotting trends and spikes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoStart date for the report in ISO 8601 format (e.g. 2026-05-01T00:00:00Z)
untilNoEnd date for the report in ISO 8601 format
zone_idYesrequired,The ID of the zone
time_deltaNoUnit of time to group data by: all, auto, year, quarter, month, week, day, hour, dekaminute, minute

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It only restates the output shape ('time-series data points grouped by time_delta') and omits read-only status, behavior when since/until are omitted (defaults, max range), and any rate or retention limits.

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?

Two compact sentences with the operation stated first. The second sentence mildly repeats the time grouping already stated in the first, but overall there is no wasted text.

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?

For a read-style analytics tool with a fully documented schema and no output schema, the description covers what the tool returns and why. The main gap is that it never clarifies the default/valid time window or how it relates to get_dns_analytics.

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 since, until, zone_id, and time_delta are all documented in the schema, including the time_delta value list. The description adds nothing beyond that baseline, which is acceptable but not additive.

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?

States a specific verb ('Get') plus resource ('DNS query analytics for a Cloudflare zone') and scopes it to time-bucketed output. The 'grouped by time interval' phrasing hints at how it differs from the sibling get_dns_analytics, but the distinction is never made explicit.

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 phrase 'for spotting trends and spikes' implies an intent, but there is no when-to-use, when-not-to-use, or comparison against the closely named sibling get_dns_analytics. An agent must guess which of the two analytics tools to call.

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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