list_available_account_log_datasets

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

No annotations are provided, so the description must carry the behavioral burden. 'List' strongly implies a read-only, non-destructive operation, and 'available to be configured' clarifies that these are candidate datasets rather than existing configuration. It still omits details such as required permissions, rate limits, or pagination behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It states the action, resource, and scope directly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter read-only list tool with no output schema, the description is mostly complete: it identifies the resource and account scope. The main remaining gap is sibling differentiation, which affects tool selection among similarly named list tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single account_id parameter, so the schema already documents the parameter fully. The description does not add syntax, format, or additional meaning beyond what the schema provides, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb, resource, and scope: 'List the Logs Explorer datasets available to be configured for a Cloudflare account.' This implicitly distinguishes it from configured-dataset siblings such as list_account_log_datasets, but it does not explicitly name any alternative tool to prevent confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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

The phrase 'available to be configured' implies the tool is used to discover configurable datasets, giving some usage context. However, it does not explicitly state when to choose it over list_available_log_datasets or list_account_log_datasets, nor does it describe prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.