run_python_file

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

No annotations provided, so the description carries the full burden. It mentions file path resolution and environment defaults, but lacks disclosure of side effects, security implications, error behavior, or whether execution is synchronous. For a tool that runs arbitrary code, this is insufficient.

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—one sentence plus a structured Args block. Every part is functional with no fluff. Could be slightly more streamlined but is well-organized.

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 no output schema or annotations, the description should cover return format, error handling, and prerequisites (e.g., file existence, Python availability). It does not mention what is returned, side effects, or safety concerns, leaving significant gaps for a file execution tool.

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 0%, so the description compensates well. It explains each parameter's purpose and constraints, such as path relativity and environment resolution. This adds significant meaning beyond the bare schema.

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 Python file and return the result', which is a specific verb+resource combination. It distinguishes from sibling 'run_python_code' by focusing on files rather than code strings, and from other siblings like read/write or install tools.

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?

No explicit guidance on when to use this tool versus alternatives like run_python_code or list_directory. The description infers usage for executing a Python file but does not discuss prerequisites, when to avoid, or comparison with siblings.

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