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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, destructiveHint=false, so the safety profile is fully covered by structured data. What the description adds beyond annotations is the return payload contents, which is genuinely useful given there is no output schema, but it says nothing about response size, latency, or cost despite promising everything 'in one call'.

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?

It is a single dense sentence that front-loads the payoff ('What you can answer, in one call') and wastes no words, but the enumerated list is run-on and the most actionable instruction, 'Call it first,' is tacked on at the very end rather than leading.

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 carries the full burden of explaining returns, and it does so thoroughly across all seven content categories, including the alias.column convention and example tool calls. Minor gaps remain around response shape/format and any size limits, but an agent has enough to call it correctly and interpret the result.

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 single workspace_id parameter has 100% schema description coverage, including the default behavior when omitted, so the schema does the heavy lifting. The description never mentions workspace_id or that omitting it returns all workspaces, adding no meaning beyond the schema; baseline 3 applies.

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 enumerates precisely what the call returns: per-workspace datasets with one-line descriptions, column metadata (role, unit, summable, meaning), freshness, approved definitions, dataset links, glossary, and five worked example questions. That is specific and differentiated in substance from siblings like aggregate or describe_dataset, though it never names those siblings explicitly.

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?

'Call it first' gives an unambiguous when-to-use directive for an entry-point/orientation tool. It stops short of naming alternatives or stating when-not to use it (e.g., 'skip if you already know the schema, use describe_dataset instead'), and the directive is buried at the end of a long sentence.

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