get_account_log_dataset

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. The word 'Get' implies a read, but nothing is said about permissions, error behavior when the dataset ID is invalid, or whether the dataset is account-scoped vs. zone-scoped. For a no-annotation tool this is a real gap.

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?

A single efficient sentence with the resource and lookup key front-loaded. No wasted words, though it is arguably too terse to be maximally useful.

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?

Two fully documented params and no output schema mean the schema does most of the work. However, with zero annotations and no sibling differentiation from get_log_dataset, the description leaves the agent short of the context needed to invoke confidently.

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%, so both account_id and dataset_id are already documented in the schema. The description adds only the phrase 'by dataset ID,' which restates the schema rather than adding format or semantics. Baseline 3 applies.

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?

States a specific verb (Get), resource (Logs Explorer dataset), and scope (for a Cloudflare account by dataset ID). This clearly separates it from the list_* siblings, but it does not distinguish itself from the similar sibling get_log_dataset, leaving ambiguity about which getter to pick.

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 description gives no when-to-use context, no prerequisites, and names no alternative. An agent reading it cannot tell when to choose this over get_log_dataset, list_account_log_datasets, or the other dataset getters.

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