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bazinga012

MCP Code Executor

append_to_code_file

Add code to existing Python files to build larger programs incrementally within the MCP Code Executor environment.

Instructions

Append content to an existing Python code file. Use this to add more code to a file created with initialize_code_file, allowing you to build up larger code bases in parts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesFull path to the file
contentYesContent to append to the file

Implementation Reference

  • Core handler function that checks if the file exists, appends the provided content using fs/promises.appendFile, and returns a standardized JSON response indicating success or error.
    async function appendToCodeFile(filePath: string, content: string) {
        try {
            // Ensure file exists
            await access(filePath);
            
            // Append content to file
            await appendFile(filePath, content, 'utf-8');
            
            return {
                type: 'text',
                text: JSON.stringify({
                    status: 'success',
                    message: 'Content appended successfully',
                    file_path: filePath
                }),
                isError: false
            };
        } catch (error) {
            return {
                type: 'text',
                text: JSON.stringify({
                    status: 'error',
                    error: error instanceof Error ? error.message : String(error),
                    file_path: filePath
                }),
                isError: true
            };
        }
    }
  • TypeScript interface defining the expected arguments for the append_to_code_file tool handler.
    interface AppendToCodeFileArgs {
        file_path?: string;
        content?: string;
    }
  • src/index.ts:570-587 (registration)
    Tool metadata registration in the ListTools handler, including name, description, and JSON input schema.
    {
        name: "append_to_code_file",
        description: "Append content to an existing Python code file. Use this to add more code to a file created with initialize_code_file, allowing you to build up larger code bases in parts.",
        inputSchema: {
            type: "object",
            properties: {
                file_path: {
                    type: "string",
                    description: "Full path to the file"
                },
                content: {
                    type: "string",
                    description: "Content to append to the file"
                }
            },
            required: ["file_path", "content"]
        }
    },
  • Tool dispatcher in the CallToolRequestSchema handler that validates arguments and invokes the appendToCodeFile function.
    case "append_to_code_file": {
        const args = request.params.arguments as AppendToCodeFileArgs;
        if (!args?.file_path) {
            throw new Error("File path is required");
        }
        if (!args?.content) {
            throw new Error("Content is required");
        }
    
        const result = await appendToCodeFile(args.file_path, args.content);
    
        return {
            content: [{
                type: "text",
                text: result.text,
                isError: result.isError
            }]
        };
    }
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. While it mentions the tool appends content, it doesn't disclose important behavioral traits like whether it requires file existence, handles file permissions, what happens on errors, or if it overwrites existing content. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 perfectly concise with two sentences that each earn their place. The first sentence states the core purpose, and the second provides usage context and sibling tool reference. There's zero wasted text, and information is front-loaded appropriately.

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

Completeness3/5

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

Given this is a mutation tool with no annotations and no output schema, the description should do more to explain behavioral aspects. While it clearly states the purpose and usage guidelines, it lacks information about error conditions, file requirements, or what happens when the operation completes. For a tool that modifies files, this leaves important contextual gaps.

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?

Schema description coverage is 100%, so the schema already documents both parameters (file_path and content) adequately. The description doesn't add any parameter-specific information beyond what's in the schema, such as file path format requirements or content encoding details. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Append content') and target resource ('existing Python code file'), distinguishing it from sibling tools like initialize_code_file (creates new files) and read_code_file (reads without modifying). It provides a precise verb+resource combination with clear scope.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool ('to add more code to a file created with initialize_code_file') and provides a clear alternative context ('allowing you to build up larger code bases in parts'). It directly references a sibling tool for comparison, giving clear guidance on appropriate usage scenarios.

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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