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

With no annotations, the description carries the full behavioral burden. It usefully discloses case-insensitive matching and the 50-row cap, but says nothing about result ordering, pagination, or whether matching is substring-based. Low-risk read search, so partial coverage is acceptable.

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 sentence fragment that front-loads the operation and packs matching semantics and the limit without waste. It is appropriately sized for a simple search tool.

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 no-output-schema search tool this covers the core matching semantics and cap, which is enough to call it correctly. It leaves gaps around result ordering and what a returned row contains, so it is adequate rather than complete.

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 only 50%: query is documented in the schema, but limit has no schema description. The description compensates partially by stating the 'up to 50' cap, but adds no syntax or format details beyond that.

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 precise operation: it returns rows of the named dataset whose cells contain the query, matched case-insensitively. This is a specific verb+resource and lets an agent distinguish it from dataset_row (single row) or dataset_top. It stops short of explicitly naming siblings, so a 5 isn't warranted.

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?

There is no explicit when-to-use guidance, no prerequisites, and no mention of alternatives among the many dataset_* siblings. The reader must infer that this is the free-text search tool versus dataset_row or dataset_top.

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