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

With no annotations, the description is responsible for disclosing behavioral traits. It does explain the selection logic and ordering, but it does not explicitly state whether the operation is read-only or whether it has any side effects, though the wording implies a pure query.

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, tightly written sentence that packs the selection rule, ordering rule, and intended use case without extraneous words.

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 only two parameters and no output schema, the description provides enough context for an agent to understand what rows are returned and why. It could be slightly stronger by explicitly describing the output layout implied by 'side by side', but it is not critically incomplete.

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?

The schema provides only names and types, so the description adds meaning by explaining that 'column' is a dataset column and 'values' are the values to match, with 'any of' semantics and order preservation. It does not cover edge cases such as matching behavior, but it gives the essential semantics.

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 that the tool retrieves rows from the PaywallCompass dataset by matching a column against a set of given values, and the title adds the 'compare rows side by side' intent. This distinguishes it from general search or single-row retrieval tools.

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 explicitly scopes its use to 'X vs Y' questions and notes that results are returned in the order of the supplied values, giving an agent clear guidance on when to invoke it. It does not mention alternative sibling tools, but the use case is specific enough.

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