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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds valuable context beyond annotations by identifying the underlying data.gov.au CKAN Action API and explicitly stating that no auth is required, which helps the agent know prerequisites and call expectations.

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 with no filler. The first sentence front-loads the core function and return fields, and the second gives data source and auth context. Every sentence earns its place.

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 single-parameter read-only detail tool with an output schema and strong annotations, this description is complete. It tells the agent what is returned, how to address the dataset, which API backs it, and that no auth is required. Remaining concerns like error behavior or rate limits are minor given the simple idempotent read operation.

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 input schema has 100% description coverage for the single id parameter, explaining it as a UUID or URL slug from dataset_search results. The description simply restates 'by id' without adding further semantic detail, so it meets the baseline but does not materially enhance schema-provided meaning.

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 names a specific verb and resource: 'Get full metadata for one Australian Government open dataset by id.' It enumerates exactly which metadata fields are returned (title, notes, organization, tags, license, resource list with download URL and size), and clearly distinguishes itself from the sibling search tool by focusing on a single dataset keyed by id.

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 makes the usage context clear: use this tool when you have a dataset id and need full metadata for that one dataset. It does not explicitly state 'use datasets.search instead when looking for multiple datasets,' but the by-id framing and the sibling tool name provide adequate differentiation without exclusions.

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