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

No annotations are provided, so the description carries the full burden. It does disclose one non-obvious behavioral trait — results come back 'in the order given' of the values — but says nothing about read-only safety, what happens when a value matches no row (omit vs. error), or the 10-value ceiling. The useful ordering disclosure keeps this above a floor score despite the gaps.

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, front-loaded sentence that spends no words on restating the title. The phrasing 'whose column is any of the given values' is slightly convoluted, but there is no filler and the usage hint is correctly placed at the end.

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?

There are no annotations and no output schema, so the description is the sole source of behavioral detail for a 2-parameter tool. It adequately conveys the filtering model and output ordering, but leaves the returned row shape (all columns?) and the value-count limit unstated — gaps that matter more given the absent annotation coverage.

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. It explains the match semantics ('whose column is any of the given values', i.e. an any-of filter keyed on `column`) and that value order matters, which is meaningful beyond the bare string/array types. It does not mention the 2-10 item bounds or that partial matches are excluded.

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 states a specific retrieval action on a named resource (rows of the TelescopeCompareHQ dataset filtered by a column's values) and adds an intent gloss ('for X vs Y questions'). The verb 'Return/Get' is only implied, but an agent can distinguish this filtered, multi-value lookup from siblings like dataset_row and dataset_top.

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 '— for "X vs Y" questions' gives an implied usage condition that points at comparison queries, which is genuinely useful. However, it never names an alternative tool or states when NOT to use this (e.g., single-value lookups belong to dataset_row), so the routing guidance is inferred rather than explicit.

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