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 discloses case-insensitivity and the 50-row cap, but does not explicitly state the operation is read-only or describe behavior with no results. As a search tool, safety is inferred but not stated.

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 states the core behavior and constraints with zero waste. Every word adds value.

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 simple search tool, the description covers purpose, matching behavior, and limit. Minor gap: no mention of default limit when omitted or ordering of results, but given the output is rows of a known dataset, it is largely 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 covers query with a description and limit has none (50% coverage). The description adds meaning to both: case-insensitive search across all cells for query, and the up-to-50 cap for limit. It compensates for the schema gap effectively.

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 specific action (search rows) on a specific resource (Reviewvo dataset), with explicit matching behavior (case-insensitive, any cell) and a limit. Clearly distinguishable from sibling tools like dataset_columns or dataset_stats.

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 description implies when to use (when you need rows matching text) but provides no explicit comparison to siblings or exclusions. No guidance on when not to use it or alternatives, leaving some inference to the agent.

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