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list_log_datasets

List Logs Explorer datasets configured for a Cloudflare zone.

Instructions

List Logs Explorer datasets configured for a Cloudflare zone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zone_idYesrequired,The ID of the zone

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. 'List' plus 'configured for a Cloudflare zone' conveys a safe, zone-scoped read operation, but it is silent on pagination, result ordering, empty-zone behavior, and required permissions. For a low-risk read tool this is thin but not misleading.

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?

A single front-loaded sentence with no filler, and the zone scope is stated immediately. It is efficient, though its brevity is part of why usage and behavioral gaps remain.

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?

There is no output schema, so the description would ideally sketch what a dataset record contains (fields, identifiers usable with get_log_dataset). With only one fully documented parameter the tool is simple, but the missing return-value context leaves a modest gap.

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% and the single zone_id parameter is already documented in the schema, so the baseline of 3 applies. The description adds no syntax, format, or scoping detail beyond what the schema provides.

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 gives a specific verb ('List') and resource ('Logs Explorer datasets') scoped to a Cloudflare zone, which distinguishes it from the account-level sibling list_account_log_datasets. However, it never names the closer alternatives list_available_log_datasets or get_log_dataset, so an agent must infer the difference between listing configured datasets versus available ones.

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 when-to-use guidance is provided. The word 'configured' hints that this returns already-set-up datasets rather than the catalog of options offered by list_available_log_datasets, but that routing distinction is left to the agent to infer. No exclusions or prerequisites are stated.

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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