restart_runtime

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

With no annotations, the description carries full burden. It discloses that runtime state and environment variables are reset, and the notebook page stays open. This directly informs the agent of the behavior and side effects. A small gap is that it doesn't mention the restart's duration or asynchronicity, but it's still transparent.

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 sentences, no wasted words. The first sentence states the core action, the second provides crucial context. Perfectly concise and well-structured.

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?

The description is complete for a simple tool with one optional parameter. It covers the essential behavioral outcome and what is preserved. Could mention if the restart is synchronous, but overall it's adequately informative.

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 100% (the 'reason' parameter is already documented in the schema). The description adds no further meaning about the parameter, so baseline score of 3 is appropriate.

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 identifies the action (restart), the resource (current Colab Python runtime), and distinguishes it from siblings like shutdown_runtime by noting that the notebook page stays open. This is a specific and helpful definition.

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 for resetting runtime state while keeping the notebook open, but it lacks explicit guidance on when to use this vs alternatives (e.g., shutdown_runtime). The context is sufficient for inference but not explicit.

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