call_notebook_tool

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

No annotations are supplied, so the description carries the full behavioral burden, and it discloses almost nothing: the side effects, permissions, reversibility, and error behavior all depend on whichever delegated tool is invoked, which is never said. The only behavioral hint is the discovery step, which tells the agent names and schemas must come from list_notebook_tools rather than be guessed.

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?

Two short sentences, front-loaded with the action and immediately followed by the prerequisite step. Nothing is redundant and there is no filler.

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?

For a proxy tool with a nested object parameter and no output schema, the definition covers how to supply inputs but not what comes back, how failures surface, or that the safety profile varies per delegated tool. Those gaps matter more here than for a normal leaf tool, so the definition is adequate but not 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?

Schema coverage is 100%, so 3 would be the baseline, but the description adds real meaning: 'name' must be the exact name returned by list_notebook_tools, and 'arguments' must conform to that tool's own input schema. The schema alone just says 'Browser tool name' and 'Arguments matching its input schema', so the description usefully ties both fields to a discovery workflow.

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 states a specific verb and resource ('Call a tool provided by the connected Colab browser') and implicitly distinguishes itself from list_notebook_tools by framing that sibling as the discovery step. Minor ambiguity remains about what 'browser tool' means versus notebook tools, but an agent can tell this is a dispatcher/proxy.

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?

It gives an explicit prerequisite and ordering: first use list_notebook_tools to obtain the exact name and argument schema. That is a concrete when-to-use rule. It stops short of stating when-not to use it or what to do if the delegated tool errors.

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