get_dataset_item

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

With no annotations, the description carries the full burden of behavioral disclosure, but it does not mention any behavioral traits such as error handling (e.g., 404 on missing item), whether project is required for tenant isolation, or any data completeness guarantees. For a simple getter, the absence of these details leaves a notable gap.

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 clean sentence with no filler or redundancy. The description is front-loaded with the action and object, making it immediately scannable. Every word earns its place.

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?

The tool is a low-complexity getter, and an output schema exists, which likely handles return value documentation. However, the description is minimal: it leaves the 'project' parameter unexplained, gives no usage context, and does not mention any edge cases. This is minimum viable but has clear gaps.

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 compensate. It loosely maps 'ID' to the item_id parameter, but it does not explain the format of item_id or the purpose of the optional 'project' parameter. The description adds minimal value beyond the schema, naming only one of two parameters.

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 'Get a single dataset item by ID' uses a specific verb ('Get') and resource ('dataset item'), clearly distinguishing it from siblings like list_dataset_items (list) and get_dataset (dataset-level fetch). The mention of 'single' and 'by ID' makes the scoop explicit and unambiguous.

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 versus alternatives such as list_dataset_items or get_dataset. There are no stated prerequisites (e.g., needing the item ID from a list operation) or exclusions. The description simply states the action without context.

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