cell_execute

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

Annotations are silent; description adds critical behavior: kernel state persists between executions, outputs saved to .ipynb file, and python_path control details. No contradiction with annotations.

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?

Front-loaded with action, efficient two paragraphs. Could be slightly tighter but no wasted sentences.

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?

Covers key behavioral aspects (persistence, file saving, python_path). Missing output format description or error handling, but sufficient for typical usage given no output schema.

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 has 0% description coverage; description explains python_path in detail and implies cell_id usage. However, name and timeout are not explained, leaving some ambiguity despite the useful python_path clarification.

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 states 'Execute a specific code cell and return its output', specifying verb, resource, and scope. It distinguishes from siblings like cell_add and notebook_execute_all by focusing on single code cell execution with kernel state persistence.

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 provides guidance on when to use (only code cells) and explains when python_path takes effect, but lacks explicit comparison to alternatives like notebook_execute_all or kernel_start. Includes context on when to use kernel_restart for switching Python.

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