lldb_command

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 mentions executing a command but doesn't specify whether this is read-only or destructive, what permissions are needed, how errors are handled, or any rate limits. This is a significant gap for a tool that interacts with a debugger, where such details are critical.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

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

The description is extremely concise—a single sentence with no wasted words. It's front-loaded and gets straight to the point, making it easy to parse quickly. This efficiency is appropriate for a simple tool, though it sacrifices detail for brevity.

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

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

Given the complexity of executing debugger commands, the lack of annotations, and 0% schema coverage, the description is incomplete. It doesn't cover behavioral aspects like safety, error handling, or prerequisites, and while an output schema exists, the description doesn't hint at return values or usage context. This leaves significant gaps for an AI agent to operate effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 0%, so the description must compensate, but it adds no information about the parameters beyond what's implied by the tool name. It doesn't explain what 'session_id' or 'command' represent, their formats, or examples. However, with only 2 parameters and an output schema present, the baseline is slightly higher, but the description fails to add meaningful semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Execute') and resource ('an arbitrary LLDB command'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'gdb_command' or 'debugger_command' beyond the LLDB specificity, which is why it's not a perfect 5.

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

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 like 'gdb_command' or 'debugger_command', nor does it mention prerequisites such as requiring an active session. It simply states what it does without context, leaving the agent to 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.