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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds that it returns schema metadata (columns, types, row count, etc.), which is consistent. No further behavioral traits disclosed; rating is adequate given annotation coverage.

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?

Single sentence front-loaded with verb and resource, listing key metadata fields. No unnecessary words, efficient and clear.

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 one-parameter tool with no output schema, the description adequately covers purpose, parameter, and return fields. Lacks details on error handling or rate limits, but acceptable given minimal complexity.

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% with param description 'Dataset id, e.g. "n9u6-aijz"'. Description adds context (Santa Clara County Open Data) and example, enriching meaning beyond the schema's type string. Baseline 3, elevated to 4 for added value.

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?

Description clearly states verb 'Get', resource 'dataset schema + metadata', lists specific attributes (columns, types, row count, etc.), and provides an example resource_id. This distinguishes it from sibling tools like 'datasets' (which lists available datasets) and 'query' (which retrieves data within a dataset).

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?

No explicit guidance on when to use this tool versus alternatives. While the purpose is clear, the description does not mention when not to use it or suggest alternative tools for different tasks (e.g., 'datasets' to find data, 'query' to retrieve data).

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