This record as markdown: /tools/a2a-mcp-world/recall.md
What recall does on A2A-MCP-World
AI agents call recall to retrieve information from A2A-MCP-World without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why recall is rated Low
This tool retrieves historical memories or state information internal to an AI agent character. It does not modify, delete, or execute external operations—it only reads and returns data from the agent's memory store. The blast radius of misuse is minimal, as retrieving one's own memories cannot directly harm the world state or other agents.
From the tool's definition Tool name 'recall' and description 'Search your own memories' indicate data retrieval with no side effects. The verb 'search' and 'recall' are query operations.
Attacks that exploit this kind of access
The rule that runs recall 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 recall, this is the rule to start with:
recall is read-only, so it stays allowed. 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 recall call is checked against it from then on.
Questions about recall
Search your own memories. It is categorised as a Read tool in the A2A-MCP-World MCP Server, which means it retrieves data without modifying state.
Register the A2A-MCP-World MCP server in PolicyLayer and add a rule for recall: 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.
recall is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the recall 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 recall. 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.
recall 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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