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chrissaautomates.com

chrissaautomates.com

live Unverified (seed import) AI & Agents 2 tools imperative implementation

See how AI research agents can decide when to stop, escalate, switch retrieval routes, and avoid unnecessary paid calls using measured benchmark evidence.

First seen 2026-08-31 · Last seen 2026-08-31 · Source: webmcp.com

Answer 1 · Act 1 · Transact 0 · Score: Not yet scored

Tool inspector

recommend_agent_retrieval_strategy

act imperative

Returns the CAutomates Agent Utility Index evidence-guided web retrieval strategy for a supported AI-agent use case, page workload, and priority. This is read-only and does not call retrieval providers.

Page: /

Input schema

PropertyTypeRequiredDescription
use_case string yes What the AI system is being built to do.
workload string yes Closest benchmarked web-page workload.
priority string yes Whether the main goal is fewer paid calls, retrieval quality, or latency.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "use_case": {
      "type": "string",
      "enum": [
        "lead_enrichment",
        "competitive_research",
        "product_monitoring",
        "rag_research",
        "website_audit",
        "custom_agent"
      ],
      "description": "What the AI system is being built to do."
    },
    "workload": {
      "type": "string",
      "enum": [
        "saas_pricing",
        "documentation",
        "ecommerce_product",
        "javascript_heavy",
        "difficult_antibot"
      ],
      "description": "Closest benchmarked web-page workload."
    },
    "priority": {
      "type": "string",
      "enum": [
        "efficiency",
        "reliability",
        "latency"
      ],
      "description": "Whether the main goal is fewer paid calls, retrieval quality, or latency."
    }
  },
  "required": [
    "use_case",
    "workload",
    "priority"
  ],
  "additionalProperties": false
}

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