This record as markdown: /tools/a2a-mcp-world/remember.md
What remember does on A2A-MCP-World
AI agents use remember to create or update resources in A2A-MCP-World, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A2A-MCP-World environment.
Why remember is rated Medium
The tool writes data (a memory entry) to persistent storage for the agent. It is reversible in principle (memories could be overwritten or deleted), affects only the agent's own state within a sandboxed world engine, and has minimal blast radius. No code execution, deletion, or financial action is involved.
From the tool's definition 'Store a memory of your own' — creates/persists a new memory record for the agent
Attacks that exploit this kind of access
The rule that runs remember safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A2A-MCP-World, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For remember, this is the rule to start with:
remember 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.
The button opens the PolicyLayer dashboard: create your workspace, connect A2A-MCP-World, apply this rule, and every remember call is checked against it from then on.
Questions about remember
Store a memory of your own. kind:. It is categorised as a Write tool in the A2A-MCP-World MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the A2A-MCP-World MCP server in PolicyLayer and add a rule for remember: 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 A2A-MCP-World. Nothing to install.
remember is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the remember 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.
Set action: deny in the PolicyLayer policy for remember. 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.
remember is provided by the A2A-MCP-World MCP server (akshaytp749/A2A-MCP-World). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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