llamacpp_status

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

With no annotations, the description carries the behavioral disclosure burden and does it well: it states this is a probe (not a download or process start) and that non-loopback URLs are rejected. It does not mention the response shape or what happens when the server is unreachable, but the disclosed restrictions and non-mutating scope are solid.

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?

Three short sentences with no filler. The main action and resource are front-loaded, followed by necessary exclusions and constraints. Every sentence earns its place.

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?

For a single-optional-parameter status probe with low complexity, the description is largely complete: it covers what the tool does, what it does not do, and URL restrictions. The main gap is that no output schema exists and the description does not state what the probe returns, but the tool name and 'status' context mitigate this.

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 100%, and the schema already explains the base_url format and loopback requirement, so the baseline of 3 applies. The description adds marginal value by naming the default value (http://127.0.0.1:8080/v1), but the parameter semantics are primarily handled by the schema.

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 states a specific verb ('Probe') and resource ('loopback llama.cpp llama-server OpenAI API') with an explicit default URL. The negative clauses ('Does not download GGUF files or start a process') clearly distinguish it from download/start sibling tools, and naming llama.cpp separates it from vllm_status and ollama_status.

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 gives clear context for when this tool applies: probing a local llama.cpp server, and it explicitly excludes downloading GGUF files or starting a process. It does not name alternative sibling tools directly, but the exclusions make the selection boundary unambiguous for an agent.

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