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

With no annotations, the description carries the full burden. It usefully discloses case-insensitive matching and the 50-row cap, which are real behavioral traits, but says nothing about result ordering, truncation indication, permissions, or empty-result behavior.

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 tight sentence that front-loads the resource and matching rule and appends the result cap. Every clause carries information; there is no filler.

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 two-parameter read tool with no output schema, the description is adequate but thin: it does not state what a returned row contains beyond being rows, nor the ordering of matches, and limit remains undocumented except for its ceiling. The essentials to invoke it are present, but not enough to predict results.

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 in the schema while limit is not (only min/max constraints). The description partially compensates by restating the 'up to 50' ceiling on limit, but adds no ordering or semantics for how limit interacts with ranking.

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 verb and resource: search rows of a named dataset by cell content, case-insensitive, capped at 50. That is far more precise than the title alone, but it never names or distinguishes itself from siblings like dataset_row or dataset_top, 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?

There is no when-to-use guidance and no mention of alternatives among the nine siblings (dataset_row for a specific row, dataset_top, dataset_stats, etc.). The scope is implied by the word 'search' but nothing routes the agent explicitly.

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