create_dataset

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

With no annotations provided, the description bears full responsibility for disclosing behavioral traits. The only behavior disclosed is that the tool does not modify source images. It omits critical information such as permission requirements, whether the operation is reversible, any side effects (e.g., creating metadata records), or rate limits. The single behavioral note is insufficient for safe and effective invocation.

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 a single, front-loaded sentence that immediately conveys the core action. There is no wasted text. However, the conciseness comes at the cost of omitting important details, slightly reducing its utility for an agent. A 4 reflects good efficiency but not perfect trade-off between brevity and completeness.

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 has two parameters and an output schema, which reduces the need to describe return values. However, the description remains incomplete: it does not explain when registration is appropriate, what prerequisites must be met, or any usage context. For a creation operation, the agent would benefit from knowing that a dataset entry is being created in the system without altering source files. The minimal description leaves gaps that could lead to misuse.

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%, with both 'name' and 'root_path' already documented in the input schema. The tool description adds no additional semantic meaning beyond what the schema provides. Per guidelines, baseline 3 is appropriate when the schema already covers the 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 uses the verb 'register' and the resource 'dataset root', clearly indicating the action of creating a new dataset entry. It adds the specific detail 'without changing any source image', which helps distinguish it from tools that might modify images. However, it does not explicitly state 'create a new dataset' which would be slightly clearer. Given there are no sibling creation tools, the differentiation is adequate.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites (e.g., that the root_path must exist and be authorized), no context about typical workflows, and no exclusions. The agent receives no help in deciding to invoke this tool over other sibling tools.

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