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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is fully covered. The description usefully discloses what is returned (slug, name, record count, coverage, page URL), but says nothing about pagination or the default/max 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?

Two tight sentences with no filler; the searchable scope and examples come first, and the output/workflow note is front-loaded at the end. 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, the description compensates by naming the returned fields and explaining how the slug is reused downstream. Only gap is the absence of result-limit/pagination behavior, which is only partially implied by the schema's limit parameter.

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 100%, so the baseline is 3. The examples ('bobcat', 'generator dealers', 'hardware stores') add color for building the query string, but no syntax, matching behavior, or interaction rules between query and category are explained.

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 verb and resource ('Find LocationLists datasets') and enumerates the searchable dimensions (brand, product line, location type, category) with concrete examples. This clearly separates it from siblings like get_dataset (fetch by slug) and query_locations (query records within a dataset).

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 closing line 'Use the slug with the other tools' gives useful follow-through guidance, implying this is the entry point in a workflow. However, it never states when to prefer this over get_dataset when a slug is already known, nor any when-not conditions.

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