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

With no annotations, the description carries the transparency burden. It adds useful behavioral detail: matching is case-insensitive, matches any cell, and results are capped at 50. However, it does not state that the operation is read-only, how results are ordered, or what happens when there are no matches.

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?

The entire definition is one front-loaded sentence with no filler, and the core operation is stated first. A minor duplication ('the The Water Hub') slightly detracts from polish but does not hurt scannability.

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 two-parameter text search, the definition covers what is searched, the matching semantics, the cap, and implies row-shaped results. It relies on the schema for requiredness and limit constraints; specifying return shape more explicitly would make it fully complete, but nothing essential is missing for correct invocation.

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 50%: query has a description, limit has min/max but no text. The description adds case-insensitivity for query and restates the 50 cap already present in the schema, but it does little to explain the limit parameter's behavior beyond that, leaving the agent to infer from the parameter name and constraints.

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: it identifies rows of the named 'The Water Hub dataset' that match a query, distinguishing it from sibling row/column/stats tools. The matching semantics (cells contain query, case-insensitive) make the purpose unmistakable.

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 behavior is clear enough that an agent can infer when to use it, but the description never explicitly says when to prefer it over dataset_row, dataset_top, or dataset_compare, and gives no when-not-to-use conditions. Usage guidance is implied rather than stated.

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