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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds useful behavioral context by disclosing that the tool returns record_count and a Feature Service url, and that the url is intended for further querying—information not present in annotations or schema. No contradictions.

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 sentences, front-loaded with the action and resource, and every word earns its place. It communicates scope, return fields, and next-step guidance without waste.

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 search tool with 3 optional params and no output schema, the description is complete: it explains what the tool does, what it returns, and how to use the result. The examples in the schema further support usage. No critical gaps.

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. Each parameter (limit, query, org_id) is already well-described in the input schema. The description adds little beyond 'by keyword' and does not enrich parameter semantics beyond what the schema provides.

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 uses a specific verb ('Search') and resource ('City of Dublin GIS open geospatial datasets'), lists dataset categories, and explains exactly what is returned (name, summary, record_count, owner/org, Feature Service url). It also distinguishes this discovery tool from query_layer/layer_info by explicitly linking the returned url to those downstream tools.

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 clear usage context: use this tool to find datasets by keyword, then pass the returned Feature Service url to query_layer/layer_info for detailed querying. It lacks explicit when-not-to-use exclusions or named alternatives beyond the downstream tools, but the workflow is evident from the return value description.

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