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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds useful payload context (row counts, last refresh timestamps) but says nothing about pagination, result size, or whether the listing is filtered by workspace membership.

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 front-loaded sentence with no filler; the resource and its returned attributes come first. Nothing is redundant and nothing needs to be trimmed for a zero-parameter tool.

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?

There is no output schema, so the description must carry the return contract, and it only partially does: row counts and refresh times are named, but the dataset identifier/name field that downstream tools (describe_dataset, query_rows) require is not mentioned, nor is ordering or truncation behavior.

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?

With zero parameters the baseline is 4, and the description reinforces the implicit scoping ('this account can query') that the empty schema cannot express. No syntax or filters exist to document, so there is little further value to add.

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?

Names the resource (datasets) with an explicit scope ('this account can query') and states what comes back (row counts, last refresh). The verb is carried by the name/title rather than the sentence, and it doesn't distinguish itself from siblings like describe_dataset or workspace_overview, so it falls short of a 5.

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 only implied: an agent can infer this is the discovery/listing step before calling describe_dataset or query_rows. There is no explicit when-to-use, no when-not, and no mention of the sibling tools that would be alternatives once a dataset is identified.

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