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

The description claims the operation is 'additive,' suggesting it is not destructive, but the annotations set 'destructiveHint: true,' creating a direct contradiction. The description fails to disclose this behavioral trait accurately, misleading the agent.

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 consists of two concise sentences: one explaining the core function and additive nature, the other providing the endpoint. No redundant information, and key points are front-loaded.

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?

While the description complements the schema with the endpoint and additive note, the contradiction with annotations undermines completeness. Additionally, lacking usage guidance and behavioral clarity, the description does not fully equip the agent for correct invocation despite schema richness.

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 100%, so the description does not need to add parameter semantics. The description provides no additional parameter-specific meaning beyond the endpoint path (which is already in annotations implicitly). Baseline score of 3 is appropriate.

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 it creates a dataset metadata record, specifies that actual data is uploaded separately (additive), and provides the REST endpoint. This distinguishes it from sibling tools like list/get/delete, making the purpose 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?

The description includes the clue 'additive; actual data is uploaded separately,' implying this tool is for metadata creation before data upload. However, it does not explicitly state when to use this tool versus alternatives (e.g., no mention of not using it for data upload or comparison with other dataset operations).

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