AxModelFitterV2_execute_code

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

With no annotations, the description carries full weight. It discloses the sandboxed environment and the necessity of export calls. However, it omits details on timeouts, resource limits, error handling, or side effects (e.g., filesystem access). While adequate for a basic code execution tool, more behavioral context would improve transparency.

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 efficiently convey the tool's purpose, environment, requirement, and typical usage. No extraneous words; critical information is front-loaded.

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 mostly complete but missing key details about output format—how results are returned (e.g., through export only? Are print statements captured?). Without an output schema, this gap hinders full understanding. Also lacks error handling details. Nonetheless, it covers the main functional aspects.

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 alone provides 100% coverage with a clear description including the export requirement. The tool description adds no new information beyond restating the export condition, so it adds minimal value over the schema. Baseline 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 states the action ('Execute Python code'), the environment ('sandboxed with JAX, diffrax, equinox, ax_core.model_fitter'), and distinguishes from sibling tools by mentioning it is typically used for code produced by generate_code, implying a specific workflow within the AxModelFitterV2 family.

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 provides usage guidance by stating the typical use case ('run code produced by generate_code') and flexibility ('accepts hand-written or modified code'). It also specifies a requirement (must call export). However, it lacks explicit comparisons or when-not-to-use advice relative to other execute_code siblings like AxArgmin_execute_code.

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