List the dimensions

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds real value by disclosing the return structure (nine items, three lens groupings, per-dimension question and entries tagged by intelligence label) which matters because no output schema exists. It does not cover ordering, size, or whether entries are truncated, keeping it below a 5.

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?

A single sentence with no filler, and the headline fact (nine dimensions across three lenses) is front-loaded. The trailing clause 'each with its question and its entries by intelligence label' is dense but still earns its place by describing the payload.

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 zero-parameter read-only listing with no output schema, the description covers what is returned and how it is grouped, which is the main thing an agent needs. What is missing is scale and format expectations (roughly how large the response is, how entries are labelled) plus any routing to get_dimension for follow-up.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool applies. The description correctly implies a full, unfiltered catalogue rather than a filtered subset, which is the only relevant semantic here.

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 the resource concretely (the nine dimensions, grouped into three lenses: capability, context, control) and says each carries its question and its entries by intelligence label, so an agent knows exactly what the call yields. It falls short of a 5 because it is a noun-phrase content summary rather than an explicit verb+resource statement, and it never distinguishes itself from the sibling get_dimension.

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?

There is no when-to-use guidance at all: no statement that this is the entry point for browsing the whole catalogue, and no pointer to get_dimension for fetching a single dimension or to search_radar for filtering. The agent must infer the relationship to the many sibling tools from their names alone.

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