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cloudflare-mcp

by pocc

get_analytics_by_colo

Get zone analytics per Cloudflare data center to identify edge performance and traffic patterns. Specify zone and date range to view colo-level metrics.

Instructions

Get zone analytics broken down by Cloudflare colo/data center

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoStart date
untilNoEnd date
zone_idYesThe zone ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It clearly signals a read operation and indicates the response grouping (per-colo), but it does not disclose date-range defaults, pagination, or whether the response includes aggregate totals. There is no contradiction with annotations because none are provided.

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, information-dense sentence with no filler. The key distinguishing detail ('broken down by Cloudflare colo/data center') is front-loaded and every word contributes to understanding the tool's purpose.

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?

For a simple 3-parameter query, the description plus full schema is mostly adequate, but it omits guidance on when to choose this tool over sibling analytics tools and does not explain the behavior of optional date parameters. Since there is no output schema, the return shape is also left unspecified, though 'zone analytics' and 'colo' give a reasonable general expectation.

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%, with each parameter already described ('Start date', 'End date', 'The zone ID'). The description adds only the colo grouping context and no parameter-specific details beyond the schema, so the baseline score of 3 is appropriate.

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 verb ('Get'), the resource ('zone analytics'), and the distinguishing dimension ('broken down by Cloudflare colo/data center'). It is specific enough to separate this tool from generic analytics siblings like get_zone_analytics, though it does not explicitly name 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives such as get_zone_analytics or graphql_analytics. The description provides no context for choosing colo-level analytics over other analytics endpoints.

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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