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

Annotations already indicate the tool is read-only and idempotent. The description adds value by detailing the exact return fields (columns, types, row count, category, last-updated) and the nature of the output (schema + metadata), going beyond what annotations provide. 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 a single, well-structured sentence that immediately conveys the tool's purpose and key details. Every word earns its place; there is no redundancy or verbosity.

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 this simple tool with one parameter and strong annotations, the description adequately explains the output and usage. It could optionally mention that the response is JSON, but the current level is sufficient and complete for the task.

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 description adds minimal extra meaning for the single parameter. It reinforces the example ('qccx-65fg') but does not provide new semantics beyond the schema. Baseline 3 is correct.

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 retrieves schema and metadata for a Howard County Open Data dataset, listing specific fields and providing a concrete example. While it distinguishes itself from siblings like 'datasets' by focusing on a single dataset's details, it doesn't explicitly contrast with similar tools, so a 4 is appropriate.

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 usage when one needs metadata for a specific resource_id, but does not specify when not to use this tool or mention alternatives. It provides a clear use case but lacks explicit guidance on exclusion criteria, earning a 3.

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