add_code_cell

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

No annotations are provided, so the description carries the full burden. It discloses the browser connection requirement, but it omits key behavioral traits such as how cellIndex affects insertion position, whether the cell is executed, or any side effects on existing cells. This lack of detail could mislead an agent.

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 two concise sentences: the first states the action and the second states a prerequisite. It is front-loaded, with no unnecessary words or repetition.

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?

With three parameters, no schema descriptions, and no annotations, the description is too sparse. It explains the core action and prerequisite but does not elaborate on parameter roles, return values, or mutating behavior, making it incomplete for an agent to use confidently.

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?

The schema has 0% description coverage for its three parameters (code, language, cellIndex), and the description does not mention any of them. The agent receives no guidance on how to populate these parameters, leaving a significant gap.

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 "Add a new code cell to the Colab notebook" uses a specific verb (Add) and resource (code cell in Colab notebook), clearly distinguishing it from siblings like add_text_cell, run_code_cell, and get_cells. It leaves no ambiguity about what the tool does.

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 explicitly states the prerequisite "Requires an active browser connection via open_colab_browser_connection," which is a clear usage condition. However, it does not mention alternatives or when not to use this tool, though the purpose is self-evident within the sibling context.

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