Low Risk

butterbase_docs

Read comprehensive Butterbase documentation (local, no API calls). Available topics: - all: Complete documentation (default) - overview: Platform introduction and key features - mcp: MCP tool reference and examples - rest: HTTP data API (auto-generated REST endpoints) - auth: End-user authenticat...

Part of the Mcp server.

butterbase_docs is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call butterbase_docs to retrieve information from Mcp without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though butterbase_docs only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "butterbase_docs": {}
  }
}

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the butterbase_docs tool do? +

Read comprehensive Butterbase documentation (local, no API calls). Available topics: - all: Complete documentation (default) - overview: Platform introduction and key features - mcp: MCP tool reference and examples - rest: HTTP data API (auto-generated REST endpoints) - auth: End-user authentication (OAuth, JWT) - storage: File upload/download with S3 - functions: Serverless functions (triggers, context) - frontend: Static frontend deployment (upload zip, deploy to live URL) - ai: AI model gateway (chat completions, BYOK, usage) - billing: Your Butterbase plan, usage meters, app-level Stripe Connect (subscriptions and one-time payments) - platform: MCP over HTTP, /llms.txt, subdomains, suggestions, rate limits - regions: Choosing a region at app creation, moving apps between regions, discovering the live region list - schema: Schema DSL reference (types, indexes, constraints) - sdk: TypeScript SDK installation, client setup, query builder, auth, storage, functions - cli: CLI installation, commands for apps, schema, functions, storage, config - integrations: Third-party integrations (OAuth connect flow, tool execution, SDK, CLI) - substrate: Per-user memory + action coordination plane for AI agents (entities, decisions, attention rules, action ledger, outbox, ws stream, ctx.substrate inside functions) Example: Input: { topic: "auth" } Output: Full authentication documentation with OAuth setup, JWT handling, etc. Use this to: - Learn Butterbase features and APIs - Get code examples for common tasks - Reference schema DSL syntax - Understand authentication flow - Learn about app monetization (subscriptions and one-time purchases) Note: This is a local documentation tool. No network requests are made. Idempotency: Safe to call anytime (read-only operation).. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on butterbase_docs? +

Register the MCP server in PolicyLayer and add a rule for butterbase_docs: 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 Mcp. Nothing to install.

What risk level is butterbase_docs? +

butterbase_docs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit butterbase_docs? +

Yes. Add a rate_limit block to the butterbase_docs 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 butterbase_docs completely? +

Set action: deny in the PolicyLayer policy for butterbase_docs. 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 butterbase_docs? +

butterbase_docs is provided by the MCP server (@butterbase/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp tool call.

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