add-dataset-examples

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

Despite no annotations, description discloses that metadata automatically includes synthetic generation info. Implies non-destructive addition. Could mention idempotency but acceptable.

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?

Front-loaded purpose, includes example and return expectation. Slightly verbose but all sentences add value.

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?

Covers purpose, usage, and return confirmation. Lacks error cases but adequate for simple add tool with 2 params and no output schema.

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?

0% schema coverage; description mentions 'input, output, metadata' but doesn't elaborate on dataset_name or structure. Partially compensates by advising to follow existing patterns.

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?

Clearly states verb 'add' and resource 'examples to an existing dataset'. Distinguishes from sibling 'get-dataset-examples' by mentioning checking existing examples.

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?

Explicitly instructs to check existing examples using 'get-dataset-examples' to avoid duplicates and follow patterns. Provides an example usage scenario.

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