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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing it as a safe read-only operation. The description adds value beyond annotations by specifying the exact return fields (name, summary, record_count, owner/org, url) and the fact it returns a Feature Service URL, which informs the agent of the output structure. No contradiction with annotations.

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: the first front-loads the purpose and scope, the second details return fields and downstream usage. Every word contributes value, with no filler or redundancy. Ideal length for the tool's complexity.

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 three optional parameters and no output schema, the description adequately covers what the tool does, what it returns (explicitly listing fields), and how the returned URL is used with sibling tools. It does not explain pagination or sorting behavior, but those are not critical for a search tool where the schema covers limit. The description is sufficiently complete for an agent to use it correctly.

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% for all three parameters, each with meaningful descriptions (query keywords, limit range, optional org_id). The description adds minimal extra parameter semantics; it simply restates 'by keyword' which aligns with the query parameter. Baseline 3 is appropriate because the schema already handles parameter documentation.

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 a specific verb ('Search') and resource ('Lorain County GIS open geospatial datasets') with concrete examples of searchable content (parcels, addresses, zoning). It distinguishes itself from sibling tools by explicitly noting it returns Feature Service URLs for query_layer/layer_info, which is an effective differentiator.

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 to discover datasets by keyword, then pass the returned URL to query_layer or layer_info for further operations. It does not explicitly state when not to use this tool or name alternative search methods, but the downstream guidance is a strong usage signal. Slightly below a 5 because exclusions are not mentioned.

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