get_dataset

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

With no annotations, the description must fully disclose behavior. It only states 'Get... metadata', implying a read-only operation, but does not explicitly confirm safety or describe side effects, authorization needs, or rate limits. The description adds no behavioral context beyond what the tool name suggests.

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?

The description is a single, well-structured sentence of 14 words that directly states the purpose and what is included. Every word contributes value, with no redundancy or filler.

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?

Given no output schema, the description lists return fields but does not specify response structure (single object vs. array), error conditions, or behavior when dataset is not found. It is adequate for a simple get operation but lacks important contextual details.

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%, so the baseline is 3. The description lists fields in the response but does not add meaning to the parameters themselves (dataset name, include_content_zones) beyond what the schema already provides. Thus, it neither improves nor degrades parameter understanding.

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 clearly states the action ('Get') and the resource ('Interaction Studio dataset metadata'), listing specific fields like label, state, tracking settings, and content zones. It distinguishes this tool from siblings like list_datasets (which lists all datasets) by implying a single-dataset focus.

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 guidance is provided on when to use this tool vs alternatives such as list_datasets or audit_dataset. The usage context is merely implied from the tool name and description, with no explicit when-to-use or when-not-to-use instructions.

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