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overseer.env_map

Map and track environment variables across project phases to identify required versus optional variables for structured deployment.

Instructions

Maps and tracks environment variables across phases, identifying required vs. optional variables.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_nameYesName of the repository
phase_nameNoOptional: filter to specific phase

Implementation Reference

  • The handleEnvMap function that executes the tool's core logic, currently a placeholder for future environment variable mapping across phases.
    export async function handleEnvMap(
      args: {
        repo_name: string;
        phase_name?: string;
      },
      phaseManager: PhaseManager
    ): Promise<{
      success: boolean;
      env_map: Record<
        string,
        {
          variable: string;
          required_for_phases: string[];
          description?: string;
          default_value?: string;
        }
      >;
      message?: string;
    }> {
      // Note: env_map is a planned feature for v1.1+
      // This tool will scan project files for environment variable usage
      // and map them to phases where they are required
      
      return {
        success: true,
        env_map: {},
        message: 'Environment mapping is planned for v1.1.0. This tool will analyze project files to identify environment variables and their phase dependencies.',
      };
    }
  • The createEnvMapTool function defines the tool's metadata, including name, description, and input schema for validation.
    export function createEnvMapTool(phaseManager: PhaseManager): Tool {
      return {
        name: 'overseer.env_map',
        description: 'Maps and tracks environment variables across phases, identifying required vs. optional variables.',
        inputSchema: {
          type: 'object',
          required: ['repo_name'],
          properties: {
            repo_name: {
              type: 'string',
              description: 'Name of the repository',
            },
            phase_name: {
              type: 'string',
              description: 'Optional: filter to specific phase',
            },
          },
        },
      };
    }
  • Registration of the handler in the main tool dispatcher switch statement.
    case 'overseer.env_map':
      return await handleEnvMap(args, context.phaseManager);
  • The tool is added to the list of available tools in createTools.
    createEnvMapTool(context.phaseManager),
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 mentions the tool 'maps and tracks' and identifies variable types, but doesn't disclose critical behaviors like whether it's read-only or mutative, permission requirements, rate limits, or output format. For a tool with no 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.

Conciseness5/5

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

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part of the sentence earns its place by specifying actions, resources, and key functionality, making it highly concise and well-structured.

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 the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, usage context, and output expectations. With no output schema, the description should ideally hint at return values, but it doesn't, leaving gaps in completeness.

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 clear documentation for both parameters ('repo_name' and 'phase_name'). The description adds no additional meaning beyond the schema, such as explaining how 'phase_name' filtering works or providing examples. 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.

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 specific verbs ('maps and tracks') and resources ('environment variables across phases'), and distinguishes its function by identifying 'required vs. optional variables'. However, it doesn't explicitly differentiate from sibling tools like 'overseer.secrets_template' or 'overseer.check_compliance' which might also handle environment-related tasks.

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, context for usage, or compare it to siblings such as 'overseer.secrets_template' for environment variable management or 'overseer.check_compliance' for validation, leaving the agent with no usage direction.

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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