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

With no annotations, the description carries the burden of behavioral disclosure. It discloses that results are ordered according to the given values and that matching is 'any of the given values', which is useful. However, it does not describe the output shape, whether full rows are returned, duplicate handling, or any read-only guarantees.

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 that packs in the target dataset, the filtering behavior, ordering behavior, and intended use case. There is no filler or redundancy; every clause earns its place.

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?

The description is adequate for a relatively simple two-parameter tool, and it explains what rows are selected and in what order. However, there is no output schema and no explicit description of the returned structure or the 'side by side' presentation promised by the title, leaving some ambiguity about the tool's exact output behavior.

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 explain the parameters. It does this by describing the role of 'column' and 'values': rows whose column matches any of the given values, in the given order. This adds meaningful behavioral meaning beyond the raw JSON schema, though it leaves some validation details to the schema.

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 identifies a specific retrieval operation: returning rows from the ReceivableLedger dataset filtered by column values, in the given order. It also conveys the comparative intent ('X vs Y' questions), which distinguishes it from generic search or row tools, though it does not explicitly name a sibling.

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 clear context for when to use this tool: comparing rows across specific column values. It does not explicitly state when not to use it or mention alternative sibling tools, but the intended use case is reasonably clear.

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