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stop_sim_log_cap

Stops an active simulator log capture session in XcodeBuildMCP, retrieves and returns the captured logs for analysis, using the specified log session ID.

Instructions

Stops an active simulator log capture session and returns the captured logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
logSessionIdYesThe session ID returned by start_sim_log_cap.

Implementation Reference

  • The handler function that executes the tool logic: stops the log capture session and returns the captured logs or an error response.
    export async function stop_sim_log_capLogic(params: StopSimLogCapParams): Promise<ToolResponse> {
      const { logContent, error } = await _stopLogCapture(params.logSessionId);
      if (error) {
        return {
          content: [
            createTextContent(`Error stopping log capture session ${params.logSessionId}: ${error}`),
          ],
          isError: true,
        };
      }
      return {
        content: [
          createTextContent(
            `Log capture session ${params.logSessionId} stopped successfully. Log content follows:\n\n${logContent}`,
          ),
        ],
      };
    }
  • Zod schema defining the input parameters for the tool (logSessionId).
    const stopSimLogCapSchema = z.object({
      logSessionId: z.string().describe('The session ID returned by start_sim_log_cap.'),
    });
  • Default export of the tool object including name, description, schema, and handler for MCP registration.
    export default {
      name: 'stop_sim_log_cap',
      description: 'Stops an active simulator log capture session and returns the captured logs.',
      schema: stopSimLogCapSchema.shape, // MCP SDK compatibility
      handler: createTypedTool(stopSimLogCapSchema, stop_sim_log_capLogic, getDefaultCommandExecutor),
    };
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool stops a session and returns logs, which implies it's a read operation that ends an active process. However, it doesn't mention potential side effects (e.g., if logs are cleared after stopping), authentication needs, or rate limits, leaving behavioral gaps for a tool that interacts with simulators.

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, well-structured sentence that efficiently conveys the core action and outcome without unnecessary words. It's front-loaded with the main purpose and includes the return value, making every part of the sentence earn its place.

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

Completeness4/5

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

Given the tool's moderate complexity (stopping a session and returning logs), no annotations, and no output schema, the description is fairly complete. It covers the purpose and basic behavior, but could improve by detailing the log format or any prerequisites beyond the session ID. It's adequate for an agent to understand the tool's role.

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 schema description coverage is 100%, with the parameter 'logSessionId' fully documented in the schema as 'The session ID returned by start_sim_log_cap.' The description doesn't add any extra parameter details beyond this, so it meets the baseline of 3 where 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 tool's purpose with a specific verb ('stops') and resource ('an active simulator log capture session'), and it distinguishes from sibling tools by referencing 'start_sim_log_cap' as the complementary operation. It explicitly mentions returning captured logs, which adds valuable context beyond just stopping.

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

Usage Guidelines4/5

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

The description implies usage context by referencing 'start_sim_log_cap' as the prerequisite, indicating this tool should be used after starting a session. However, it doesn't explicitly state when not to use it or name alternatives among the many sibling tools, such as 'stop_device_log_cap' for device logs.

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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