pocketgull.app WebMCP Tools, Schemas & Agent Capabilities

pocketgull.app

live Unverified (seed import) Health & Education 98 tools imperative implementation

Pocket Gull is a real-time clinical AI consult engine powered by Google Gemini. Features 10D multi-paradigm strategy, FHIR R4 export & 3D spatial anatomy.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 20 · Act 75 · Transact 3 · Score: Not yet scored

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evaluate_clinical_hypothesis_and_cohort

act imperative

Evaluates a clinical biomarker or hypothesis using Popperian null-hypothesis (H0) testing, Gigerenzer natural frequencies (out of 10,000), and generates a leak-free BigQuery Kaggle 5-fold cohort SQL query with 1 GiB maximum_bytes_billed.

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Input schema

Property	Type	Required	Description
`biomarkerName`	string	yes	Biomarker or vital sign name (e.g., hsCRP, HRV_RMSSD, SpO2)
`observedValue`	number	yes	Observed patient metric value
`populationMean`	number	no	Null hypothesis (H0) population baseline mean
`populationSd`	number	no	Population standard deviation
`prevalencePer10000`	number	no	Base rate per 10,000 screened individuals for Gigerenzer natural frequency

Raw JSON schema

{
  "type": "object",
  "properties": {
    "biomarkerName": {
      "type": "string",
      "description": "Biomarker or vital sign name (e.g., hsCRP, HRV_RMSSD, SpO2)"
    },
    "observedValue": {
      "type": "number",
      "description": "Observed patient metric value"
    },
    "populationMean": {
      "type": "number",
      "description": "Null hypothesis (H0) population baseline mean"
    },
    "populationSd": {
      "type": "number",
      "description": "Population standard deviation"
    },
    "prevalencePer10000": {
      "type": "number",
      "description": "Base rate per 10,000 screened individuals for Gigerenzer natural frequency"
    }
  },
  "required": [
    "biomarkerName",
    "observedValue"
  ]
}