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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds value by listing the exact return fields (name, summary, record_count, owner/org, url) and the pointer to query_layer/layer_info. However, it does not disclose any potential side effects, pagination behavior, or error conditions beyond what the schema already provides. This is adequate but not deeply transparent.

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 concise sentences. The first states the action and scope, the second lists the return values and provides a workflow hint. No redundancy or filler; every word earns its place. This is a model of concise, well-structured documentation.

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 search tool with optional parameters and rich annotations, the description is quite complete. It enumerates all return fields and advises the next step (using the returned URL with query_layer/layer_info). It does not discuss empty-result behavior or sorting, but those are minor given the tool's simplicity. The presence of a robust schema and annotations means the description does not need to over-explain.

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?

The schema describes all three parameters (limit, query, org_id) with clear descriptions, covering 100% of them. The description only re-emphasizes the 'keyword' search behavior and does not add new parameter-level detail. Per the rubric, baseline 3 applies when schema coverage is high, and the description does not significantly augment the parameter semantics.

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's function: searching Allegheny County GIS datasets by keyword. It specifies the resource (geospatial datasets), the action (search), and the scope (parcels, addresses, zoning, public works). It also differentiates from sibling tools like query_layer and layer_info by framing this as the discovery step that returns URLs for those 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 provides a clear workflow: after searching, pass the returned Feature Service URL to query_layer or layer_info. This implies when to use this tool (for finding datasets) versus the alternatives (for inspecting/querying a specific layer). However, it does not explicitly state 'use this when you need to discover datasets' or mention any exclusion scenarios, so it falls short of a 5.

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