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

With no annotations, the description must disclose behavioral traits, but it only mentions ordering ('in the order given'). It does not state whether the operation is read-only, what happens if no rows match, or whether the results include all columns. The lack of explicit non-destructive assurance is a significant gap for a query tool.

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, efficient sentence that front-loads the core behavior and includes a purpose hint at the end. It is concise with no redundant phrasing, though the phrasing 'The rows of the Netsheetly dataset whose column is any of the given values' is slightly awkward but still compact.

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 tool with two parameters and no output schema, the description provides the essential filtering logic and ordering. However, it does not mention return format, pagination, or error handling, and the title's 'side by side' is not reflected in the description, which could lead to ambiguity about how rows are presented. It is adequate but not complete.

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 clarify parameter meaning. It explains that 'column' is the field to compare and 'values' are the values to match, which is essential semantics. However, it does not detail constraints like the minItems=2 or maxItems=10, nor the string type, leaving some interpretation to the agent.

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 states the tool returns rows from the Netsheetly dataset filtered by a column matching any of the given values, preserving the given order. This clearly indicates the resource and action, and the 'X vs Y questions' hint helps distinguish it from sibling tools like dataset_search or dataset_row, though it does not explicitly contrast them.

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 provides a usage hint ('for X vs Y questions') but does not explicitly state when to avoid this tool or how it differs from alternatives like dataset_row or dataset_search. The context is implied rather than explicit, leaving the agent to infer the selection criteria.

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