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research_book

One-call research bundle: returns the full review text, all existing signals, and page metadata for a book or investigation. Start here before writing a signal.

Part of the Claude Wilder server.

research_book can trigger actions in Claude Wilder, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke research_book to trigger processes or run actions in Claude Wilder. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

research_book can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "research_book": {
      "limits": [
        {
          "counter": "research_book_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Claude Wilder policy for all 9 tools.

Get this rule live on your own Claude Wilder server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access research_book gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so research_book only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the research_book tool do? +

One-call research bundle: returns the full review text, all existing signals, and page metadata for a book or investigation. Start here before writing a signal.. It is categorised as a Execute tool in the Claude Wilder MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on research_book? +

Register the Claude Wilder MCP server in PolicyLayer and add a rule for research_book: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Claude Wilder. Nothing to install.

What risk level is research_book? +

research_book is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit research_book? +

Yes. Add a rate_limit block to the research_book rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block research_book completely? +

Set action: deny in the PolicyLayer policy for research_book. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides research_book? +

research_book is provided by the Claude Wilder MCP server (claudewilder/claude-wilder-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude Wilder tool call.

Deterministic rules across all 9 Claude Wilder tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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