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

With no annotations, the description carries the full behavioral burden. It does disclose a non-obvious trait the schema does not: results follow the order of the supplied values, and the match is an OR over values. It says nothing about return shape, per-row contents, or any limits on how many rows come back.

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?

A single sentence that front-loads the scope (which rows) and ends with the use case. No filler, though the sentence is grammatically dense enough that it reads a little awkwardly.

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 two-parameter read tool with no output schema, the description covers purpose and parameter meaning adequately. It stops short of the behavioral context the missing annotations would otherwise supply, such as what a returned row looks like or how large the result can be.

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 compensate, and it largely does: "column" is identified as the column being matched and "values" as the set matched against it, with any-of matching and order-preservation semantics spelled out. The 2-item minimum and 10-item cap from the schema are not restated, but the core meaning of both parameters is 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?

The description names the exact resource and filter: rows of the Trading Card Value Checker dataset where a given column matches any supplied value, returned in input order. That is a precise, verifiable behavior, though it is phrased as a noun fragment rather than a verb+resource and it never contrasts itself with sibling tools 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 trailing clause "for 'X vs Y' questions" gives a genuine situational cue, so usage is not entirely absent. However, it names no alternatives and gives no exclusion criteria, so an agent must infer for itself whether dataset_row, dataset_search, or dataset_top would be the better pick for a given request.

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