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akshat12000

File System Explorer MCP Server

by akshat12000

read_file

Retrieve text content from files on your system by specifying the file path. This tool enables reading file contents for analysis, editing, or processing within the File System Explorer MCP Server environment.

Instructions

Read the contents of a text file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesThe file path to read

Implementation Reference

  • The main handler logic for the 'read_file' tool. Validates the input path using ReadFileArgsSchema, resolves and sanitizes the path, checks if it's a file and not too large, reads the file content using fs.readFile, formats the output with file info and content, and returns it in the expected MCP format.
    case "read_file": {
      const { path: filePath } = ReadFileArgsSchema.parse(args);
      const safePath = validatePath(filePath);
      
      const stats = await fs.stat(safePath);
      if (stats.isDirectory()) {
        throw new Error("Cannot read a directory as a file");
      }
    
      // Check file size to prevent reading huge files
      const maxSize = 1024 * 1024; // 1MB limit
      if (stats.size > maxSize) {
        throw new Error(`File too large (${formatFileSize(stats.size)}). Maximum size is ${formatFileSize(maxSize)}`);
      }
    
      const content = await fs.readFile(safePath, 'utf-8');
      
      return {
        content: [
          {
            type: "text",
            text: `File: ${safePath}\nSize: ${formatFileSize(stats.size)}\nModified: ${stats.mtime.toLocaleString()}\n\n--- Content ---\n${content}`
          }
        ]
      };
    }
  • Zod schema for validating the input arguments of the 'read_file' tool, specifically the 'path' parameter.
    const ReadFileArgsSchema = z.object({
      path: z.string().describe("The file path to read")
    });
  • src/index.ts:158-171 (registration)
    Registration of the 'read_file' tool in the ListToolsRequestSchema handler, defining its name, description, and input schema for MCP clients to discover and use it.
    {
      name: "read_file",
      description: "Read the contents of a text file",
      inputSchema: {
        type: "object",
        properties: {
          path: {
            type: "string",
            description: "The file path to read"
          }
        },
        required: ["path"]
      }
    },
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose important behavioral traits like error handling (e.g., what happens if the file doesn't exist), encoding assumptions, or size limitations, leaving significant gaps for a read operation.

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

Conciseness5/5

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

The description is a single, efficient sentence with no wasted words. It's appropriately sized for a simple tool and front-loads the core action, making it easy to parse quickly.

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?

For a tool with no annotations and no output schema, the description is too minimal. It doesn't explain what the return value looks like (e.g., raw text, structured data) or address potential constraints, making it incomplete for effective agent use despite the simple parameter schema.

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 input schema has 100% description coverage, with the 'path' parameter clearly documented. The description doesn't add any parameter details beyond what the schema provides, so it meets the baseline for high schema coverage without adding extra value.

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 verb ('Read') and resource ('contents of a text file'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get_file_info' which might also read file metadata, so it doesn't reach the highest score.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_file_info' for metadata or 'search_files' for finding files. The description only states what it does, not when it's appropriate.

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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