batch

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

With no annotations, the description carries the full burden for behavioral disclosure. It only states what the tool does, not how: no mention of result aggregation, error handling, concurrency, permissions, or side effects. This gap could mislead an agent about the tool's execution model.

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 concise sentence that front-loads the core purpose with a concrete example. Every word is useful and there is no fluff or repetition.

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?

Despite having an output schema, the description is too sparse for a generic dispatch tool. It lacks essential context about how operations are executed (e.g., sequentially or in parallel), how parameters map to the operation, and how errors or partial failures are reported. An agent would need additional documentation to use this safely and effectively.

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 has 0% description coverage for all three parameters (notebook_ids, operation, params), and the description only provides a single example value for operation. It does not explain the structure or purpose of the 'params' object or how notebook_ids should be formatted, leaving the agent to guess.

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 a specific verb+resource+scope: 'Run a single tool operation across many notebooks.' The example operation='notebook_query' reinforces the intended use and distinguishes it from single-notebook tools and other wrappers like pipeline.

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 phrase 'across many notebooks' implies the use case for batch operations, but there is no explicit guidance on when to choose this over alternatives like cross_notebook_query or when not to use it (e.g., for a single notebook). No direct comparison to sibling tools is provided.

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