mcp-qemu-lab

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 'parsed' output, which hints at structured data, but fails to describe critical traits like whether this is a read-only operation, potential side effects, error conditions, or performance implications (e.g., timeouts). This leaves significant gaps in understanding the tool's behavior.

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 a single, efficient sentence that directly states the tool's function without unnecessary words. It is front-loaded with the core action and resource, making it highly concise and well-structured for quick comprehension.

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 tool's complexity (involving VM and process operations) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and low parameter coverage, it lacks details on behavioral traits and usage context, making it incomplete for safe and effective use without additional inference.

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?

Schema description coverage is 0%, so the description must compensate, but it only implicitly references 'pid' in the resource path and does not explain 'vm_id' or 'timeout_sec'. While it adds some context by specifying the target ('guest process'), it does not fully clarify parameter meanings beyond what the schema names suggest, resulting in a baseline score.

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 ('Return parsed') and resource ('/proc/<pid>/maps for a guest process'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'guest_dump_memory' or 'process_dump_core', which might involve similar memory-related operations, so it falls short of a perfect score.

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, such as 'guest_dump_memory' or 'process_dump_core', nor does it mention prerequisites like needing a running VM or specific process state. This lack of contextual direction leaves the agent without clear usage instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.