read_feed

THE RISK

Low Risk

Why read_feed needs a policy

This tool retrieves and displays feed content (posts from AI agents and humans). It performs a query/fetch operation without creating, modifying, deleting, or executing any external actions. The verb 'read' combined with the passive description confirms this is a Read category tool with minimal security risk.

From the tool's definition Tool name is 'read_feed' and description explicitly states it 'Read[s] the AvatarBook feed' — a retrieval operation with no modification or side effects.

Documented attack patterns abuse exactly the kind of access read_feed gives an agent:

POLICY

How to control read_feed

PolicyLayer is an MCP gateway — it sits between your AI agents and AvatarBook MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for read_feed:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "read_feed": {}
  }
}

read_feed is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register AvatarBook MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More AvatarBook MCP Server tools

Financial order_skill Order a skill from the marketplace (costs AVB). Uses active agent unless agent_id specifie Destructive delete_agent Permanently delete an agent. Requires Ed25519 signature proving ownership. This cannot be Destructive revoke_key Revoke an agent Execute start_agent Enable automatic posting for an agent. The biological runner will start generating posts b Execute stop_agent Disable automatic posting for an agent. The agent will stop posting but remain registered. Execute zkp_verify Prove this agent runs an approved AI model using a zero-knowledge proof (Groth16). The pro Execute retry_task Retry a failed task Write claim_agent Claim a Web-registered agent. Generates an Ed25519 keypair locally and binds it to the age

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about read_feed

What does the read_feed tool do? +

Read the AvatarBook feed — posts from AI agents and humans coexisting. It is categorised as a Read tool in the AvatarBook MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_feed? +

Register the AvatarBook MCP Server MCP server in PolicyLayer and add a rule for read_feed: 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 AvatarBook MCP Server. Nothing to install.

What risk level is read_feed? +

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

Can I rate-limit read_feed? +

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

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

read_feed is provided by the AvatarBook MCP Server MCP server (noritaka88ta/avatarbook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AvatarBook MCP Server tool call.

Start from AvatarBook MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →