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generate_aider_config

Generate a .aider.conf.yml configuration file to set up Aider AI for specific projects by defining project name, programming languages, and AI model preferences.

Instructions

Generates a .aider.conf.yml file for Aider AI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNameYes
languagesYes
modelNoAI model to use

Implementation Reference

  • The handler function that generates the .aider.conf.yml configuration file content for Aider AI based on project details.
    export function generateAiderConfigHandler(args: any) {
        const { projectName, languages, model = "gpt-4" } = args;
        const content = `# ${projectName} Aider Configuration\nmodel: ${model}\nauto-commits: true\nauto-test: true\n`;
        return { content: [{ type: "text", text: content }] };
    }
  • Zod input schema definition for the generate_aider_config tool, including projectName, languages, and optional model.
    export const generateAiderConfigSchema = {
        name: "generate_aider_config",
        description: "Generates a .aider.conf.yml file for Aider AI.",
        inputSchema: z.object({
            projectName: z.string(),
            languages: z.array(z.string()),
            model: z.string().optional().describe("AI model to use")
        })
    };
  • src/index.ts:99-99 (registration)
    Tool registration in the main MCP stdio server's toolRegistry Map.
    ["generate_aider_config", { schema: generateAiderConfigSchema, handler: generateAiderConfigHandler }],
  • src/server.ts:110-110 (registration)
    Tool registration in the HTTP server's toolRegistry Map.
    ["generate_aider_config", { schema: generateAiderConfigSchema, handler: generateAiderConfigHandler }],
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 generates a file but doesn't clarify key behaviors: whether it overwrites existing files, requires specific permissions, outputs to a particular location, or handles errors. For a file-generation tool with zero annotation coverage, this leaves significant gaps in understanding how it operates.

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, direct sentence with zero wasted words, front-loading the core action and resource. It's appropriately sized for a straightforward tool, making it easy to parse quickly without unnecessary elaboration.

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 complexity (file generation with 3 parameters), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't address behavioral aspects, parameter meanings, or output details, leaving the agent with insufficient context to use the tool effectively beyond its basic purpose.

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 low (33%, with only 'model' having a description), so the description must compensate but adds no parameter information. It doesn't explain what 'projectName' or 'languages' represent, their formats, or how they influence the generated file. With 3 parameters and minimal schema documentation, the description fails to provide meaningful semantics beyond what the bare schema offers.

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 action ('Generates') and the specific resource ('.aider.conf.yml file for Aider AI'), making the purpose immediately understandable. It distinguishes this from most sibling tools, which are about code analysis, configuration generation for other tools, or project management, though it doesn't explicitly differentiate from similar config generators like 'generate_claude_config' or 'generate_cursor_rules'.

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 prerequisites (e.g., when Aider AI is needed), compare it to other config generators in the sibling list, or specify scenarios where generating this file is appropriate. Usage is implied only by the tool's name and purpose.

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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