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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds substantial context beyond them: auth requirement, default pagination (latest version, 50 records), immutability of versions making pages stable, the 50 GB egress cost, and the paid-dataset price-return behavior. Nothing material is left undisclosed.

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?

Three tight sentences, all front-loaded: what it returns, then defaults/stability, then cost and disambiguation. Every clause earns its place with zero filler.

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 still conveys the response shape ('a page of merged records'), the pagination model, and the paid-dataset special case. Record-level field detail is not given, but for this list-style read with full annotation coverage that is a minor gap.

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 0%, so the description must carry parameter meaning, and it does for version (defaults to latest, immutable) and limit (default 50). Offset semantics are only implied by 'pages are stable' rather than explicitly explained, but the key defaults and constraints are conveyed.

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 and resource ('A page of the merged records of a dataset version') with scope and defaults (latest version, 50 records). It explicitly distinguishes itself from buy_dataset, query_dataset, and dataset_manifest, so an agent can route without opening schemas.

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?

Names alternatives and the conditions that select them: aggregates go to query_dataset, whole-version retrieval to dataset_manifest, and paid datasets to buy_dataset. When-not guidance is explicit rather than inferred.

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