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

Annotations already declare readOnlyHint, non-destructive, and closed-world, so safety is covered. The description adds real behavioral value by disclosing what rows carry (ids, status, headline) and explicitly what they never contain (candidate output or proposed target), which shapes agent expectations beyond the annotations.

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?

Two sentences with no filler, and the row-content summary is front-loaded. However the opening phrasing ('Admission state per candidate') is dense and requires re-reading, which costs clarity.

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?

With no output schema, the description usefully characterizes the returned rows and their exclusions, which is the main completeness gap for a paged read tool. The remaining gap is that nothing routes the agent between this tool and its dataset/version listing siblings.

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 the schema documents every parameter, making 3 the baseline. The description loosely echoes the admission statuses but does not add syntax or filtering guidance beyond the schema, and its mention of 'superseded' does not match the enum's 'stale'.

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 clarifies what each row represents (admission state per candidate with lineage and first failing check), which is useful, but it never states the listing action outright and leans on the name for the verb. It does not distinguish this tool from close siblings like list_datasets or list_dataset_versions.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. An agent is left to infer that this is the paged enumerator over a dataset's candidates versus the dataset/version listers.

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