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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the core behavior (returns highest or lowest rows by a numeric column) but omits important details such as the return format (list of rows, values only), handling of missing or non-numeric data, default limit behavior, and whether the sort is stable. No side effects or permission requirements are mentioned. The description is thin and leaves many behavioral aspects to inference.

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 concise sentence with an explanatory quote. It is front-loaded with the key action and resource, and contains no extraneous information. Every word contributes to clarity, making it highly efficient.

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?

Given 3 parameters, no output schema, and no annotations, the description is incomplete. It fails to mention the output format (e.g., rows with all columns or just selected), whether pagination is supported, the default limit if not provided, and any constraints on the column (e.g., must exist, must be numeric). An agent would need to infer these aspects or make assumptions, which is risky for correct invocation.

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 coverage is only 33% (only 'ascending' has a description). The description adds minimal parameter context: it implies 'column' should be numeric, but it does not explain 'limit' (e.g., default value, max) or elaborate on 'ascending' beyond what the schema already states. It does not compensate for the low schema coverage, leaving agents without a clear understanding of parameter usage and defaults.

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 clearly states the tool ranks rows by a numeric column, with the option for highest or lowest. The verb 'rank' and resource 'rows' are explicit, and it distinguishes from siblings like dataset_row (specific row), dataset_search (search), and dataset_stats (aggregate stats) by focusing on top N rows. The phrase 'which is the most/least X' reinforces the ranking purpose.

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 implies usage when an agent needs the top or bottom rows by a numeric column, but it does not explicitly mention alternatives or conditions for when not to use it. No sibling tools are referenced, and no exclusions are stated. The usage is clear but only implicitly conveyed.

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