export_dataset

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

With no annotations, the description must disclose behavioral traits like safety, permissions, or side effects. It only states the function, not whether the operation is read-only, if any size limits apply, or if it is suitable for large datasets. The agent is left without critical transparency information.

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, direct sentence with no fluff. It conveys the essential information efficiently and is perfectly scoped for the tool's simplicity.

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?

Given the tool has only one optional parameter and an output schema, the description is mostly sufficient. However, it omits any note about what 'the dataset' refers to or potential size/performance implications, which would be especially relevant for an export operation. Still, for a one-param tool, it is relatively complete.

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 schema only defines a 'format' string with a default. The description adds meaning by specifying the allowed values ('JSON or JSONL'), which directly clarifies the parameter. This compensates for the 0% schema description coverage.

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 action (Export) and the resource (the dataset) with specific output formats (JSON or JSONL). It is distinct from sibling tools that handle stats, chats, or research, making its 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?

No guidance is provided on when to use this tool versus alternatives. It is implied that one should use this when needing to export data, but there is no explicit context or exclusions, leaving the agent without decision-support.

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