colab_create_notebook

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

With no annotations, the description carries full burden. It discloses the non-obvious fact that the operation doesn't consume GPU quota and is local, but it doesn't mention file-overwrite behavior, directory creation, or return values. Schema adds the 'never replaced' detail, but the description itself is thin.

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?

Single sentence, front-loaded with the verb and resource, no wasted words. It conveys the core purpose and a key side-effect efficiently.

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 2-parameter create tool, the description covers the core purpose and a key side-effect (no GPU quota). It doesn't specify return behavior or prerequisites, but the simplicity mitigates that; it's reasonably 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 covers 100% of parameters with descriptions. The tool description adds no parameter-specific detail; it relies on the schema. Therefore baseline score of 3 applies.

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 uses a specific verb ('Create') and resource ('new local Colab-ready .ipynb notebook') and adds a distinguishing behavioral qualifier ('without consuming GPU quota'), clearly separating it from sibling tools like colab_upload or colab_execute_notebook.

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 implies usage (when you want a new local notebook) but provides no explicit guidance on alternatives or exclusions. Given the sibling list includes upload/download/execute, a sentence clarifying when to use this over other tools would improve clarity.

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