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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations: status values, last-good time, source/freshness metadata, and unit/direction conventions.

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 front-loaded with the core purpose and status semantics. The long parenthetical dataset list is dense but useful for scope, and the second paragraph efficiently adds units and return metadata.

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?

With no output schema, the description must carry return-value context; it discloses status values, last-good time, and source/freshness metadata. It does not detail the exact per-dataset response shape, but for a zero-parameter index it is reasonably complete.

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 tool has zero parameters, so the baseline is 4 and there are no parameter semantics to explain. The units and directions note adds some value for interpreting returned dataset content but is not about input parameters.

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 states a specific resource: an index of named government datasets with ok/stale/unavailable status and last-good time. It is clear and not tautological, but it does not explicitly distinguish itself from siblings like get_dataset, get_source_status, or get_data_coverage.

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?

Usage is implied by calling it an 'Index' and describing status/freshness, so an agent can infer it is for discovery before fetching a specific dataset. However, there is no explicit when-to-use, when-not-to-use, or alternative-tool guidance, and the sibling tools are not mentioned.

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