data_table_create

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

No annotations are provided, so the description carries full burden. It discloses the confirm requirement for user approval, adding behavioral context. However, it doesn't cover other traits like permissions, rate limits, or what happens on creation (e.g., if it modifies existing data), leaving gaps for a mutation tool.

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 front-loaded with the main action and key requirement, followed by a structured Args section. It's efficient with minimal waste, though the Args formatting could be more integrated into the flow for better readability.

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 5 parameters with 0% schema coverage, no annotations, but an output schema exists, the description is moderately complete. It covers the confirm requirement and hints at defaults, but lacks details on parameter usage, error handling, or output expectations, making it adequate but with clear gaps for a creation tool.

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 0%, so the description must compensate. It adds meaning by explaining 'confirm: Must be True after user approval' and implies defaults for 'source_ids' and 'language', but doesn't detail 'notebook_id' or 'description' semantics beyond names. This partially compensates but leaves key parameters under-explained.

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 verb 'Generate' and resource 'data table', making the purpose specific. However, it doesn't explicitly differentiate from sibling tools like 'notebook_add_text' or 'report_create' that might also create content in notebooks, leaving room for ambiguity.

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 explicit context with 'Requires confirm=True after user approval', indicating when to use it (after approval) and a prerequisite. It lacks guidance on when not to use it or alternatives among siblings, such as vs. 'notebook_add_text' for different content types.

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