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read_log

Extract and return the content of a specified log file in Stata-MCP for analysis or review. Use this tool to access log file data directly.

Instructions

Read the log file and return its content.

Args:
    log_path (str): The path to the log file.

Returns:
    str: The content of the log file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_pathYes

Implementation Reference

  • The static method `read_log` in the `StataDo` class that reads and returns the content of a Stata log file. This is the core implementation for reading log files, used internally by the `stata_do` MCP tool.
    def read_log(log_file_path, mode="r", encoding="utf-8") -> str:
        with open(log_file_path, mode, encoding=encoding) as file:
            log_content = file.read()
        return log_content
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool reads and returns content, but doesn't describe what happens if the file doesn't exist, if there are permission issues, if the file is large (e.g., handling of large logs), or any rate limits. For a read operation with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded, with the core purpose stated first ('Read the log file and return its content.'). The Args and Returns sections are structured but could be more concise. Every sentence earns its place, but it's slightly verbose for such a simple tool, keeping it from a perfect 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It doesn't explain potential errors, file format expectations, or return value details beyond 'str'. For a read operation, more context on behavior (e.g., what happens on failure) would be helpful, making it inadequate for full understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds minimal meaning beyond the input schema. It specifies that 'log_path' is 'The path to the log file,' which is slightly more informative than the schema's 'Log Path' title, but with 0% schema description coverage, it doesn't compensate fully. The baseline is 3 because the description at least clarifies the parameter's purpose, but it doesn't detail format (e.g., absolute vs. relative path) or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Read') and resource ('log file'), and specifies what it returns ('return its content'). It distinguishes itself from siblings like 'write_dofile' by focusing on reading rather than writing. However, it doesn't explicitly differentiate from 'get_data_info' which might also retrieve information, so it's not a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer 'read_log' over 'get_data_info' or other siblings, nor does it specify prerequisites like file existence or permissions. The only implied usage is to read a log file, but no context or exclusions are provided.

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

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