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KodimTech

@kodim/mcp-cloudflare-dns

by KodimTech

Get DNS Analytics by Time

get_dns_analytics_by_time
Read-only

Retrieve DNS analytics grouped by time intervals to track trends, spot patterns, and monitor metric changes over time.

Instructions

Get DNS analytics broken down by time intervals. Returns time-series data for DNS metrics. Useful for monitoring trends and identifying patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort metrics
limitNoMaximum rows to return
sinceNoStart time in ISO 8601 format
untilNoEnd time in ISO 8601 format
filtersNoFilters in Cloudflare analytics filter format
metricsNoMetrics to return (default: all)
zone_idYesThe zone ID
dimensionsNoDimensions to group by
time_deltaNoTime interval for grouping data (default: auto)
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds that the tool returns 'time-series data' and groups by 'time intervals,' which is useful behavioral context. It does not mention pagination, limits, or default metrics/aggregation behavior, but the annotation lowers the burden.

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?

Three short sentences, front-loaded with the core purpose. Every sentence adds value: what it does, what it returns, and when it's useful. No fluff or repetition.

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 9 parameters, no output schema, and a sibling `get_dns_analytics`, the description gives the essential idea but lacks explicit differentiation from the sibling. It explains why one would use this tool (trends/patterns) but does not mention how it interacts with parameters like `metrics` or `time_delta`. Given full schema coverage, the description is adequate but not fully complete for tool selection.

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 each parameter is already documented in the schema. The description does not add parameter-level meaning beyond stating that data is broken down by time intervals, which aligns with `time_delta` but provides no extra syntax or defaults.

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 specific verb ('Get') and resource ('DNS analytics') with a clear scope ('broken down by time intervals'). It distinguishes from the sibling tool `get_dns_analytics` by emphasizing the time-series aspect, though it does not explicitly name or compare with that sibling.

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 says 'Useful for monitoring trends and identifying patterns,' which conveys a clear use case. However, it does not provide explicit alternatives or when-not-to-use guidance, especially given the sibling `get_dns_analytics` that may differ only in time grouping.

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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