colab_export_notebook

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does explain the key transformation behavior ('raw .ipynb JSON' vs 'flattened Python script'), but it does not disclose whether the result is returned directly, written to a file, or requires any permissions/read access. This is a moderate gap for an export operation.

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 efficient sentence with no repetition or filler. The core action and output choices are front-loaded, making it easy to scan.

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 low-complexity tool, the description conveys the main purpose and output formats, but it leaves important context undeclared: what 'path' refers to, whether export produces a file or returns content, and how this differs from related notebook/file tools. The absence of an output schema makes the missing return-delivery information more significant.

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 to the 'format' parameter by explaining the two output representations, but it does not clarify the meaning of the required 'path' parameter beyond its name. The explanation is partial rather than complete.

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 ('Export') and resource ('a notebook'), and clearly names the two output formats: raw .ipynb JSON or flattened Python script. It distinguishes itself from get_notebook/download_file by framing the operation as an export/conversion, though it does not explicitly call out sibling differences.

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?

There is no guidance on when to use this tool versus alternatives such as colab_get_notebook or colab_download_file. The description implies an export use case but does not describe exclusions or the conditions that would make a sibling tool more appropriate.

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