create_dataset

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

No annotations are provided, so the description carries full burden. It mentions 'empty' and that vectors are added later, but lacks disclosure of required permissions, limits, side effects, or constraints. Minimal behavioral detail.

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?

Two sentences, front-loaded with purpose, no redundant information. Efficiently communicates the core action and subsequent step.

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 simple but the description omits critical details like parameter requirements, validation rules, and return values. The mismatch between description and schema undermines completeness.

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?

The input schema has zero properties and allows additional properties, but the description implies two parameters (name, dimension) not defined in the schema. This contradiction reduces clarity; the description adds misleading information beyond the schema.

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 'Create a new empty vector dataset' and specifies that the user chooses name and dimension, which distinguishes it from sibling tools like delete_dataset, get_dataset, and ingest_vectors.

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 implies usage order (create before ingest_vectors) but does not provide explicit when-to-use, when-not-to-use, or alternatives. It only indirectly suggests that vectors are added later.

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