execute_code

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

No annotations are provided, so the description must fully cover behavioral traits. It mentions sandboxing, the ability to call downstream tools via callTool, and that only the final return value is returned. However, it lacks details on error handling, timeouts, or limitations on callTool, which are important for a code execution tool.

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 concise and front-loaded with the main action. Every sentence adds necessary information without waste.

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?

Given the complexity of code execution and chaining, the description covers the core functionality: sandboxed execution, chaining via callTool, and final return value. Minor gaps remain in error behavior and environment specifics, but for an agent it is mostly 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?

The schema has 100% coverage with a description for the 'code' parameter. The tool's description adds value by explaining that the snippet may call `callTool(name, args)`, which is not in the schema description. It also reinforces the return value requirement.

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 the tool runs a JavaScript snippet in a sandboxed kernel, distinguishing it from the only sibling tool 'docs_search' which is for documentation search. It uses specific verbs and resources.

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 says 'Use this to chain many tool calls in one round,' providing clear context for when to use. It does not exclude alternatives, but with only one sibling, the distinction is implicit.

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