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

No annotations are provided, so the description carries the full behavioral burden. It discloses return fields and the workflow role, but does not explicitly state read-only nature, pagination behavior, rate limits, or error conditions. For a search tool this is acceptable but not rich.

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?

Three sentences, front-loaded with the core action, no filler. Each sentence adds distinct information: action and return, prerequisite, and next steps.

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?

No output schema exists, but the description explicitly lists return fields and provides a complete usage flow with sibling tools. Parameters are well-documented in the schema. Lacks explicit error handling or pagination semantics, but these are covered by the schema's limit/offset defaults.

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 100%, so the baseline is 3. The description adds workflow context by naming the three search modes (keyword, category, tag) and advising use of list_categories for valid category/tag names, meaningfully supplementing the schema.

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 clearly states the tool searches the Nova Scotia Open Data catalog by keyword, category, or tag, and explicitly lists the return types (names, IDs, descriptions, column names, portal links). It distinguishes from siblings by positioning list_categories as a prerequisite and query_dataset/get_dataset_metadata as follow-ups for returned IDs.

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 explicitly instructs users to call list_categories first to obtain valid category and tag names, and to use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration. This provides a clear when-to-use and a workflow across sibling tools.

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