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

With no annotations, the description carries the full behavioral burden. It discloses one meaningful trait beyond the schema: results follow the order of the supplied values. It omits whether the call is read-only, what happens when a value has no matching row, and whether duplicate matches are collapsed.

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 dense sentence with the core behavior front-loaded and no filler. The phrasing around 'whose column is any of the given values' is slightly clumsy but not wasteful.

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 low-complexity, 2-param tool with no annotations and no output schema, the description covers purpose and use case but leaves return shape under-specified (full rows? which columns? ordering guarantees when values are missing). Adequate but with clear gaps an agent would want filled.

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 must compensate. It does explain the roles of both params ('column' is matched against 'values'), which is genuinely useful, but it never states that `column` must be an exact column name or that `values` is bounded to 2-10 entries as the schema requires.

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?

States a concrete operation (return the rows of the Crypto Exchange Compare HQ dataset whose `column` matches any of the given `values`, preserving order) and names the intended scenario ('X vs Y' questions). The resource and behavior are unambiguous, but it never distinguishes itself from dataset_search or dataset_row, so an agent must infer the boundary.

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 'for X vs Y questions' clause implies the comparison scenario, giving some usage signal. However, it offers no explicit when-not-to-use guidance and never names dataset_search or dataset_row as alternatives, leaving the agent to guess which sibling handles a non-comparison lookup.

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