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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), so the description adds ordering behavior (newest first), the exact fields returned per entry, and a cost hint ('Free') — all useful context beyond the structured data. It stops short of describing pagination behavior, which matters for a list tool.

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?

Four tight sentences, front-loaded with purpose and ordering, followed by the context that makes the resource meaningful, then scope semantics. Nothing is padding; even the one-word 'Free' earns its place as a cost signal.

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 correctly enumerates the returned fields (id, name, source, row_count, created_at), and annotations cover the read-only nature. The only real gap is undocumented limit/offset behavior for a paginated list.

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?

Schema description coverage is 0%, so the description must carry all parameter meaning. It explains session_id well (narrows to one session; omitting it lists the whole workspace) but says nothing about limit or offset, leaving pagination semantics undocumented.

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?

States a specific verb and resource ('List this workspace's stored datasets (`ds_…`), newest first'), including the ID prefix convention that identifies the resource type. The explanation that datasets are the full-result store (vs. the 5-row sample in the original response) cleanly separates this from sibling tools like hyreflow_dataset_read and hyreflow_dataset_export.

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?

Explains when datasets exist ('any search or enrichment over 50 rows, and every workflow run's output') and clarifies the scoping choice between session_id and whole-workspace listing. It does not explicitly name alternatives such as dataset_read for fetching contents, so routing is implied rather than stated.

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