This record as markdown: /tools/frontmcp/recall.md
What recall does on Frontmcp
AI agents call recall to retrieve information from Frontmcp 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 previously stored information. The verb 'recall' combined with 'something that was previously remembered' clearly describes a data retrieval operation with no side effects. No creation, modification, deletion, code execution, or financial operations are implied. This is a straightforward Read category tool, with low severity since it only accesses data that was intentionally stored for recall.
From the tool's definition Tool name 'recall' and description 'Recall something that was previously remembered' indicates retrieval of stored data without modification or side effects.
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 Frontmcp, 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 Frontmcp, apply this rule, and every recall call is checked against it from then on.
Questions about recall
Recall something that was previously remembered. It is categorised as a Read tool in the Frontmcp MCP Server, which means it retrieves data without modifying state.
Register the Front 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 Frontmcp. 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 Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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