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

With no annotations, the description carries the behavioral burden. It transparently discloses two nontrivial behaviors: matching is by 'any of' the supplied valuesaft and returned rows follow the provided value order. It does not cover edge cases like missing values, duplicate handling, or exact-match case sensitivity, but the core behavior is clearly stated for a read-oriented comparison 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?

One tight sentence that front-loads the dataset and filter behavior, then appends the use case. There is no repetition of schema fields and no filler; every clause adds information an agent needs.

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, this description covers the essentials: dataset, filtering column, value list, ordering, and intended comparison use case. The lack of an output schema leaves minor uncertainty about the exact rendered output, but the definition is adequate for correct selection and invocation.

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 coverage is 0%, so the description is the only source of parameter meaning. It explains that 'column' is the field being matched and 'values' are the list of allowed matches, and that the order of 'values' determines output order. It does not enumerate valid columns or matching details, but it goes well beyond the bare schema types.

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?

Names the exact resource ('GPA Grade Compare dataset') and the selection rule: rows whose column matches any of the given values, in the given order. The 'X vs Y' framing and title clearly indicate a side-by-side comparison tool, distinguishing it from generic row/search siblings. It lacks an explicit action verb and direct sibling comparison, so it stops short of a top score.

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 gives a concrete trigger condition: 'for "X vs Y" questions.' This implies it should be used when comparing a small set of values side by side. It does not name alternative tools or explicitly state when not to use it, leaving only implied excluding guidance.

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