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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds genuinely useful behavioral context beyond those annotations: it specifies the return payload structure (dataset_ids, bilingual titles, record counts) and implies this is a metadata-discovery step, not a data-retrieval step. No contradiction exists.

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 description is two sentences with no wasted words. It front-loads the core action and scope, then gives example keywords and the return contract, both of which are valuable for tool selection and invocation.

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?

Given the tool's moderate complexity, fully documented schema, and safety annotations, the description covers what an agent needs: the search domain, keyword examples, return fields, and how to chain the results into query/dataset_info. The absence of an output schema is compensated by the explicit return description.

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%, with all three parameters (query, limit, offset) already documented, so the baseline is 3. The description adds keyword-topic examples and the return payload, but it does not need to restate parameter semantics since the schema already handles them fully.

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 Qatar government open data for datasets by keyword.' It also lists concrete example topics and clearly differentiates from downstream siblings by noting that the tool returns dataset_ids to pass to query/dataset_info. This makes its role in the tool family immediately recognizable.

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 gives clear context for when to use this tool — when searching Qatar open data by keyword — and provides a routing hint by stating the returned dataset_ids should be passed to query/dataset_info. It does not explicitly name alternatives or exclusions, but the downstream usage guidance is enough to orient an agent.

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