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list_available_log_datasets

List the Logs Explorer datasets available to be configured for a Cloudflare zone.

Instructions

List the Logs Explorer datasets available to be 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

B3.3/5.0
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, and it discloses almost nothing beyond the implied read-only nature of 'List'. It says nothing about pagination, permissions/auth requirements, ordering, how 'available to be configured' is determined, or what the caller receives.

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?

A single well-formed sentence with zero padding, front-loading the verb and resource and ending with the scope constraint. Nothing is wasted and nothing is buried.

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 one-parameter read-only list tool with 100% schema coverage and no output schema, the description is minimally sufficient. However, given the dense cluster of similar dataset-listing tools, it does not provide enough to confidently differentiate scope or expectations when selecting this tool.

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% for the single zone_id parameter, so the schema does the documentation work; the description only reinforces that the scope is a Cloudflare zone. Baseline 3 is appropriate when the schema fully covers parameters and the description adds no syntax or format detail.

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 (List) and resource (Logs Explorer datasets) and adds a scope qualifier ('available to be configured') plus the zone scoping. This meaningfully distinguishes it from siblings like list_log_datasets and list_available_account_log_datasets, though it never names those alternatives explicitly.

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?

Usage is only implied: an agent can infer it should call this to discover which datasets can be configured for a zone. There is no explicit when-to-use, when-not, or reference to the closely related account-level or already-configured dataset tools, which is a notable gap given how many near-identical siblings exist.

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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