annotate

A write tool on the Agent Memory Bridge MCP server.

SERVERAgent Memory Bridge SOURCEzzhang82/agent-memory-bridge

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/zzhang82-agent-memory-bridge/annotate.md

WHAT IT DOES

What annotate does on Agent Memory Bridge

AI agents use annotate to create or update resources in Agent Memory Bridge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Memory Bridge environment.

RISK

Why annotate is rated Medium

An AI agent can call annotate faster than any human can review: one bad instruction and it creates or modifies resources in Agent Memory Bridge by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs annotate safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Agent Memory Bridge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For annotate, this is the rule to start with:

annotate Rate-limited

annotate stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "annotate": {
      "limits": [
        {
          "counter": "annotate_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Agent Memory Bridge, apply this rule, and every annotate call is checked against it from then on.

FAQ

Questions about annotate

What does the annotate tool do? +

annotate is a write tool on the Agent Memory Bridge MCP server. It is categorised as a Write tool in the Agent Memory Bridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on annotate? +

Register the Agent Memory Bridge MCP server in PolicyLayer and add a rule for annotate: 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 Agent Memory Bridge. Nothing to install.

What risk level is annotate? +

annotate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit annotate? +

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

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

annotate is provided by the Agent Memory Bridge MCP server (zzhang82/agent-memory-bridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Agent Memory Bridge, and thousands of servers like it.

This server

All 12 Agent Memory Bridge tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →