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

With no annotations, the description carries the full burden, and it does disclose real behavior: case-insensitive substring matching across any cell, capped at 50. However, it omits what happens when more than 50 rows match, whether results are ranked or ordered, and the shape of each returned row.

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 with no filler, front-loading the resource and the matching rule before the cap. 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?

With no output schema and no annotations, the description is the sole source of truth, yet it leaves the return shape undefined beyond the word 'rows' and does not say whether the 50 cap truncates silently or signals more matches. Adequate but with a real gap for a search tool.

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 50%: 'query' is documented as 'text to look for in any cell' while 'limit' has no schema description. The description's 'up to 50' partially restores the limit semantics and reinforces the matching behavior, but adds nothing 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 names a specific verb and resource ('rows of the SIM Only Deals Compare dataset whose cells contain the query'), so an agent knows exactly what it retrieves. It differentiates implicitly from point-lookup siblings like dataset_row, but never names an alternative, so it stops short of a 5.

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 guidance on when to choose this tool over dataset_row, dataset_top, or dataset_compare. The 50-row cap hints at a scoping rule but is framed as an output fact, not as a selection condition between siblings.

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