smartscout_dataset_status

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

No annotations are provided, so the description carries the full disclosure burden. It implies a read/check operation but never states that it is safe and non-mutating, what 'status' values or 'accessibility' states are returned, or what happens when datasetId is omitted. For an unannotated tool, this is thin.

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?

One tightly worded sentence with no filler and the resource front-loaded. It is efficient, though it may be under-specified rather than optimally concise.

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 single-optional-parameter read tool with no output schema and no annotations, the description is borderline adequate but leaves key questions unanswered: what a returned 'status' looks like and what 'accessibility' means. The undefined terms in the description itself are the main weakness.

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 coverage is 100% and the single optional parameter is fully described there, so the baseline is 3. The description adds nothing about what the ID means or how the results differ when it is omitted versus supplied.

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 ('Check') and resource ('status and accessibility of SmartScout datasets'), which is clear enough to distinguish from unrelated siblings. However, it does not differentiate itself from the very similar siblings smartscout_check_datasets and smartscout_list_datasets, so the agent cannot tell from the description alone which of these three to pick.

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?

No when-to-use guidance, no prerequisites, and no alternatives named. With two closely-named siblings (check_datasets, list_datasets) in the same toolset, the absence of routing guidance is a real gap.

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