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MCP4Modal Sandbox

by milkymap

read_file_content_from_sandbox

Read file content from Modal sandboxes to view, debug, or inspect files without downloading them.

Instructions

        Reads the content of a file in the sandbox.
        
        Parameters:
        - sandbox_id: The unique identifier of the sandbox
        - path: Path to the file to read
        
        Returns a SandboxReadFileContentResponse containing:
        - content: String content of the file
        
        This tool is useful for:
        - Viewing file contents without downloading
        - Debugging sandbox operations
        - Checking operation results
        - Quick file inspection
        
        The tool will:
        1. Verify sandbox and file exist
        2. Read file contents
        3. Return file content as string
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sandbox_idYes
pathYes

Implementation Reference

  • Main handler function: gets sandbox by ID, checks if running, reads file content using helper in thread executor, returns response with content.
    async def read_file_content_from_sandbox(self, sandbox_id: str, path: str) -> SandboxReadFileContentResponse:
        # Get sandbox from Modal using from_id
        modal_sandbox = await modal.Sandbox.from_id.aio(sandbox_id)
        
        # Check if sandbox is running before reading file
        sandbox_status = await modal_sandbox.poll.aio()
        if sandbox_status is not None:
            raise ToolError(f"Sandbox {sandbox_id} is not running")
        
        # Read from sandbox using thread executor
        content = await self._read_sandbox_file_in_thread(modal_sandbox, path, 'rb')
        
        logger.info(f"Read file content from {path} in sandbox {sandbox_id}")
        
        return SandboxReadFileContentResponse(
            content=content
        )
  • Pydantic response schema defining the output: file content as string.
    class SandboxReadFileContentResponse(BaseModel):
        content: str
  • Tool registration in MCP app with name and description, binding the handler method.
    mcp_app.tool(
        name="read_file_content_from_sandbox",
        description=ToolDescriptions.READ_FILE_CONTENT_FROM_SANDBOX,
    )(self.read_file_content_from_sandbox)
  • Supporting helper: reads file synchronously in thread pool executor to handle Modal sandbox file I/O without blocking the async loop.
    async def _read_sandbox_file_in_thread(self, modal_sandbox, file_path: str, mode: str = 'rb'):
        def _sync_read():
            with modal_sandbox.open(file_path, mode) as f:
                return f.read()
        
        loop = asyncio.get_event_loop()
        return await loop.run_in_executor(self.thread_pool_executor, _sync_read)
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's behavior: verifying existence, reading content, and returning as string. It also implies this is a read-only operation (consistent with 'read' in the name) and doesn't mention destructive actions. However, it doesn't cover potential error conditions, permissions, or rate limits.

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 well-structured with clear sections (purpose, parameters, returns, usage, steps). However, the 'useful for' section contains some redundancy (e.g., 'debugging sandbox operations' and 'checking operation results' overlap), and the numbered steps partially repeat what's already implied in the main description, making it slightly less concise than ideal.

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

Completeness4/5

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

For a 2-parameter read tool with no annotations and no output schema, the description provides good coverage: clear purpose, parameter explanations, return value description, usage context, and behavioral steps. The main gap is the lack of explicit error handling information (what happens if file doesn't exist or path is invalid), which would be helpful for agent decision-making.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by providing clear parameter documentation. It explains both parameters (sandbox_id as 'unique identifier', path as 'Path to the file') and their purpose, adding essential meaning beyond the bare schema. This is exactly what's needed when schema coverage is low.

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

Purpose5/5

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

The description clearly states the specific action ('Reads the content of a file') and resource ('in the sandbox'), distinguishing it from siblings like list_directory_contents (which lists files) or pull_file_from_sandbox (which downloads files). The verb+resource combination is precise and unambiguous.

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

Usage Guidelines4/5

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

The 'useful for' section provides clear context about when to use this tool (viewing without downloading, debugging, checking results, quick inspection). However, it doesn't explicitly state when NOT to use it or name specific alternatives like pull_file_from_sandbox for downloading files, which would provide stronger differentiation.

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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