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cineflow_internal_llm_status

Probe internal/on-premise LLM servers and multi-server studio topology to check connectivity, availability, and readiness for CineFlow Studio workflows.

Instructions

Universal probe for internal/on-premise LLM servers (DeepSeek, Qwen 2.5, Llama 3, Mistral) and multi-server studio topology.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "cineflow_internal_llm_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
base_urlNoOptional custom endpoint URL.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It does not state that the operation is a non-mutating read, whether it makes outbound network calls, whether authentication is needed for internal servers, what a timeout or unreachable host does, or what the multi-server topology result looks like. "Probe" hints at a safe read, but nothing is confirmed.

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

Conciseness3/5

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

It is a single compact sentence fragment with no wasted words, which is good for scanning. However, it is a noun phrase without a verb, and the parenthetical vendor list consumes attention without clarifying behavior, so brevity comes at the cost of specification.

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?

With one optional parameter, no annotations, and no output schema, the description must explain what a status probe returns and how the default versus custom endpoint behaves. It explains neither, leaving an agent unable to predict the response shape or the effect of omitting base_url. Adequate only for a trivial tool, and this is more than trivial.

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?

Schema coverage is 100% and the single optional base_url is already documented as "Optional custom endpoint URL." The description adds no meaning beyond that, such as what endpoint is used by default when base_url is omitted or how it interacts with the multi-server topology mode. Baseline 3 applies since the schema does the work.

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

Purpose3/5

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

The description names the resource (internal/on-premise LLM servers, listing DeepSeek, Qwen 2.5, Llama 3, Mistral) and an action ("probe"), so the general intent of checking server status comes across. But "probe" is an imprecise verb and the description never distinguishes this from siblings like cineflow_deepseek_status or cineflow_status, which plausibly overlap. It is identifiable but not sharply differentiated.

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?

There is no explicit when-to-use or when-not-to-use guidance. The word "Universal" weakly implies it is the general-purpose counterpart to vendor-specific status tools, but no alternative is named and no condition selects this tool over cineflow_deepseek_status or cineflow_status. An agent must infer routing from names alone.

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