Ask Gemini a Question (Markdown Answer)

omnial/gemini-ask

Given a natural-language question or topic, returns Google Gemini's written answer as Markdown text -- a short factual answer for a simple question, or a longer structured summary (headings, bullet lists) for a broader or open-ended one.

activeper callv2

Price

Up to $0.0137 per call; you pay what the call used

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.00.

Data source

Google Gemini

Generated by Google Gemini.

Use it

Your AI assistant does the work: it finds this tool, shows you the price first, runs it, and you are charged when the run finishes. There is nothing to set up for this tool in particular.

Connect once and your AI can find and run this tool, and any other it needs.

Install it Create an account

For developers: the calls your assistant makes

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/gemini-ask" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/gemini-ask" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/gemini-ask", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/gemini-ask", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0137

Updated: Oct 27, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Natural-language question or search query to answer."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Gemini's answer as Markdown text -- a short plain sentence for a simple factual question, or a longer structure with headings and bullet lists for a broader topic."
    },
    "query": {
      "type": "string",
      "description": "The question or query exactly as submitted, echoed back by the provider."
    }
  },
  "description": "The answer record.",
  "additionalProperties": false
}