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run_lldb

Launch the LLDB debugger with custom arguments to debug Xcode projects through the Xcode MCP Server interface.

Instructions

Launches the LLDB debugger with custom arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lldbArgsNoOptional LLDB arguments.
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool launches LLDB but doesn't describe what happens during execution (e.g., whether it blocks, requires user input, outputs debug info, or has side effects). For a tool that likely interacts with system processes, this lack of behavioral context 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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action ('launches') and resource ('LLDB debugger'), making it easy to parse. Every word earns its place, achieving optimal conciseness.

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 of launching a debugger (which may involve system interactions, output handling, or dependencies), the description is inadequate. With no annotations, no output schema, and minimal behavioral context, it leaves critical gaps. The agent lacks information on what the tool returns, how errors are handled, or what execution entails.

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 single parameter 'lldbArgs' documented as 'Optional LLDB arguments.' The description doesn't add any meaning beyond this—it doesn't explain what valid arguments are, provide examples, or clarify the argument format. With high schema coverage, the baseline of 3 is appropriate.

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 verb ('launches') and resource ('LLDB debugger'), making the purpose immediately understandable. It distinguishes from siblings like 'run_tests' or 'trace_app' by specifying the debugger tool. However, it doesn't explicitly differentiate from all potential debugging-related tools, keeping it at a 4 rather than 5.

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. There's no mention of prerequisites (e.g., needing a project set up), when to prefer this over other debugging tools, or what scenarios it's designed for. The agent must infer usage from the tool name alone.

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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