MCP Python Interpreter

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: the tool writes content to files, supports relative/absolute paths depending on system access, and has an overwrite option. However, it doesn't mention permissions needed, error conditions, or rate limits, leaving some gaps for a mutation 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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by a structured Args/Returns section. Every sentence earns its place by providing essential information without redundancy.

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 (a mutation tool with 4 parameters, no annotations, and no output schema), the description is mostly complete. It covers purpose, parameters, and return type, but lacks details on error handling or security implications, which would be beneficial for a file-writing operation.

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 description coverage is 0%, so the description must compensate fully. It adds substantial meaning beyond the schema by explaining each parameter's purpose, defaults, and constraints (e.g., file_path can be relative or absolute, overwrite defaults to False, encoding defaults to utf-8). This provides complete parameter semantics.

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 specific action ('Write content to a file') and resource ('a file in the working directory or system-wide'), distinguishing it from sibling tools like read_file (which reads) and write_python_file (which is Python-specific). The verb+resource combination is unambiguous.

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 clear context about when to use this tool (writing files in the working directory or system-wide), but it doesn't explicitly mention when NOT to use it or name alternatives like write_python_file for Python-specific files. The guidance is helpful but not fully comparative.

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