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

With no annotations, the description carries the burden. It discloses that the tool filters rows by a column matching any of the values and preserves the input order, which are non-obvious behaviors. However, it does not specify exact-match behavior, case sensitivity, or the format of the returned comparison, so transparency is incomplete.

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 sentence and is concise, but it packs multiple ideas into awkward syntax, making 'whose column is any of the given values' potentially confusing. Better structure would clearly separate the filtering condition from the ordering guarantee.

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 2-parameter query without an output schema, the description provides the essential selection logic and ordering guarantee. It omits output format, matching semantics (exact vs partial), and any edge-case behavior, so an agent is left to infer the response shape. Overall it is adequate but not fully 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 is the only source of meaning. It explains that 'column' is the field used for filtering and 'values' are the set of values to match, and that output ordering follows the values order. This compensates for the lack of schema descriptions, though the phrasing is slightly ambiguous ('whose column is...' instead of 'whose value in the column is...').

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 a specific operation: retrieving rows from the Perdiemo dataset filtered by a column matching any of the supplied values, in the given order. The title 'Compare rows side by side' clarifies its comparison intent, which distinguishes it from siblings like dataset_row or dataset_search.

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 phrase 'for "X vs Y" questions' gives a direct when-to-use cue for comparison scenarios. It does not name alternative tools or explicitly state when not to use it, but the context is clear enough for an agent to select it for side-by-side comparisons.

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