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batch_simulate_execution

Simulate multiple code examples in batch to validate documentation examples efficiently. Use this tool to test all examples in a documentation file at once with configurable simulation options.

Instructions

Simulate execution of multiple code examples in batch. Useful for validating all examples in a documentation file at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
examplesYesArray of examples to simulate
globalOptionsNoOptions applied to all simulations

Implementation Reference

  • The primary handler function that implements the logic for the batch_simulate_execution tool. It processes an array of code examples by simulating each one's execution using the single simulate_execution handler, aggregates results, computes pass/fail statistics, and returns a batched response.
    export async function handleBatchSimulateExecution(
      args: {
        examples: Array<{
          code: string;
          implementationPath?: string;
          expectedBehavior?: string;
        }>;
        globalOptions?: SimulationOptions;
      },
      context?: any,
    ): Promise<{
      success: boolean;
      results: SimulateExecutionResult[];
      summary: {
        total: number;
        passed: number;
        failed: number;
        averageConfidence: number;
      };
    }> {
      await context?.info?.(
        `🔬 Starting batch simulation of ${args.examples.length} example(s)...`,
      );
    
      const results: SimulateExecutionResult[] = [];
      let totalConfidence = 0;
    
      for (let i = 0; i < args.examples.length; i++) {
        const example = args.examples[i];
        await context?.info?.(
          `📝 Simulating example ${i + 1}/${args.examples.length}...`,
        );
    
        let implCode: string | undefined;
        if (example.implementationPath) {
          try {
            implCode = await fs.readFile(example.implementationPath, "utf-8");
          } catch {
            // Use example as implementation
          }
        }
    
        const result = await handleSimulateExecution(
          {
            exampleCode: example.code,
            implementationCode: implCode,
            expectedBehavior: example.expectedBehavior,
            options: args.globalOptions,
          },
          context,
        );
    
        results.push(result);
        totalConfidence += result.trace.confidenceScore;
      }
    
      const passed = results.filter(
        (r) =>
          r.success &&
          r.trace.potentialIssues.filter((i) => i.severity === "error").length ===
            0,
      ).length;
      const failed = results.length - passed;
      const averageConfidence =
        results.length > 0 ? totalConfidence / results.length : 0;
    
      await context?.info?.(
        `✅ Batch simulation complete: ${passed} passed, ${failed} failed`,
      );
    
      return {
        success: failed === 0,
        results,
        summary: {
          total: results.length,
          passed,
          failed,
          averageConfidence,
        },
      };
    }
  • The Tool object registration for batch_simulate_execution, defining the tool's name, description, and input schema for batch processing of code examples.
    export const batchSimulateExecution: Tool = {
      name: "batch_simulate_execution",
      description:
        "Simulate execution of multiple code examples in batch. " +
        "Useful for validating all examples in a documentation file at once.",
      inputSchema: {
        type: "object",
        properties: {
          examples: {
            type: "array",
            items: {
              type: "object",
              properties: {
                code: {
                  type: "string",
                  description: "The code example",
                },
                implementationPath: {
                  type: "string",
                  description: "Path to implementation file",
                },
                expectedBehavior: {
                  type: "string",
                  description: "Expected behavior description",
                },
              },
              required: ["code"],
            },
            description: "Array of examples to simulate",
          },
          globalOptions: {
            type: "object",
            description: "Options applied to all simulations",
          },
        },
        required: ["examples"],
      },
    };
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 'simulate execution' and 'validating,' which implies a read-only, non-destructive analysis, but doesn't clarify if it requires specific permissions, how it handles errors, what the output format is, or any performance constraints like rate limits. For a tool with no annotations and complex parameters, this is a significant gap.

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 two sentences, front-loaded with the core purpose and followed by a usage hint. Every word earns its place with no redundancy or fluff, making it highly efficient and well-structured for quick understanding.

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 complexity (2 parameters with nested objects, no output schema, and no annotations), the description is incomplete. It doesn't explain what the simulation entails, what results to expect, or how to interpret outputs for validation. For a tool with rich input options and no output schema, more context is needed to guide effective use.

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 all parameters thoroughly. The description adds no specific parameter details beyond implying that 'examples' relate to code examples for validation. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't add meaningful semantic value beyond what's in the schema.

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: 'Simulate execution of multiple code examples in batch.' It specifies the verb ('simulate execution'), resource ('multiple code examples'), and scope ('in batch'), which is more specific than just the tool name. However, it doesn't explicitly differentiate from its sibling tool 'simulate_execution' (singular vs. batch), though the batch aspect implies a distinction.

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

Usage Guidelines3/5

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

The description provides implied usage guidance: 'Useful for validating all examples in a documentation file at once.' This suggests a context (documentation validation) and hints at when to use it (batch processing vs. single examples). However, it doesn't explicitly state when not to use it or name alternatives like 'simulate_execution' for single examples, leaving some ambiguity.

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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