list_dataset_data_json

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

No annotations are provided, so the description carries full burden. It describes a read-only list operation with a clear return structure. The description is transparent for a simple tool, though it omits details about error handling or dataset existence.

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 one sentence, front-loading the main action and then providing return details. It is concise, though the phrase 'for the Cognee workspace UI' could be considered extraneous.

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 simple tool with one parameter and no output schema, the description adequately states the purpose and return format. However, it lacks parameter documentation and does not mention prerequisites like dataset existence or error states.

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% (no parameter descriptions in schema). The description does not mention the parameter dataset_id at all, failing to add meaning beyond the schema which only specifies it as a required string.

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 tool lists data items in a dataset, specifying the return format as structured JSON with fields id and name. It distinguishes from sibling tools like list_datasets_json which lists datasets, not data items.

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?

The description mentions 'for the Cognee workspace UI' implying a specific context but does not explicitly state when to use this tool versus alternatives like list_datasets_json or other sibling tools. No when-not-to guidance is provided.

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