OracleNet Intent Parser v2 (LLM-powered): describe what you need in natural language. Uses Gemma 4 to understand context, urgency, and multi-step workflows. Returns the best oracle, tools, workflow steps, and exact API call. The front door of OracleNet.
| Name | Required | Description | Default |
|---|---|---|---|
| llm | No | Use LLM for semantic understanding (default: true; set false for fast keyword routing in <50ms) | |
| need | Yes | Describe what you need in natural language |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It discloses that the tool is LLM-powered (Gemma 4), considers context/urgency/multi-step workflows, and returns a structured plan. It does not specify failure modes or side effects, but for an intent parser this is adequate.
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 sentences, each earning its place: what it does, how it works, and what it returns. The most critical information (natural language input) is front-loaded. No wasted words.
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?
No output schema exists, but the description outlines the nature of returns (best oracle, tools, workflow steps, exact API call). The 'front door' contextualizes its role within the tool family. It could mention error cases or when the LLM is unnecessary, but the essentials are covered.
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 coverage is 100%, and both parameters ('need' and 'llm') have descriptions. The tool description adds no extra parameter detail beyond what the schema already provides, so the baseline of 3 applies.
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 tool's purpose: an intent parser that accepts natural language and returns a recommendation of oracle, tools, workflow steps, and API call. 'The front door of OracleNet' distinguishes it from siblings by positioning it as the entry point.
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 'front door of OracleNet' phrase implies this should be used first when needs are unclear, and 'describe what you need in natural language' gives concrete usage context. However, it does not explicitly mention when not to use it or name alternative tools for exclusion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools have unclear boundaries: quantum_ask and quantum_intent both serve as natural language 'front doors' with similar descriptions, and quantum_route and quantum_refer both find the best oracle for a task. This creates significant overlap that could cause agents to select the wrong tool.
Most tools follow a consistent quantum_<verb_or_noun> snake_case pattern (e.g., quantum_join, quantum_execute, quantum_settle). The single exception is neural_status, which breaks the prefix convention, but overall the naming is predictable and readable.
With 20 tools, the server sits in the heavy range (16-25). While the broad scope of OracleNet (intelligence, natural language, deals, reputation, subscriptions, scanning) somewhat justifies the count, it feels overpacked and could be streamlined by merging overlapping tools.
The tool surface covers core workflows: joining, querying status/nodes/reputation, routing, executing, dealing, settling, rating, and subscribing. However, lifecycle gaps exist—no unsubscribe, leave/delete node, deal cancellation, or dispute resolution—which can leave agents with dead ends.