arif_cc_memory_recall
Use this when the user wants to access associative memory.
This record as markdown: /tools/io-github-ariffazil-aaa-mcp/arif-cc-memory-recall.md
What arif_cc_memory_recall does on Arifos
AI agents call arif_cc_memory_recall to retrieve information from Arifos without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why arif_cc_memory_recall is rated Low
The tool retrieves or queries memory data (associative memory access) with no apparent side effects, placing it in the Read category. Severity is medium rather than low because memory systems in AI governance contexts may contain sensitive state, policy decisions, or audit trails whose unauthorized access could inform adversarial attacks or circumvention of the constitutional AI safeguards described in the server's…
From the tool's definition Tool name 'arif_cc_memory_recall' and description 'access associative memory' indicate retrieval of stored data without modification or deletion.
Attacks that exploit this kind of access
The rule that runs arif_cc_memory_recall safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Arifos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For arif_cc_memory_recall, this is the rule to start with:
arif_cc_memory_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 Arifos, apply this rule, and every arif_cc_memory_recall call is checked against it from then on.
Questions about arif_cc_memory_recall
Use this when the user wants to access associative memory. It is categorised as a Read tool in the Arifos MCP Server, which means it retrieves data without modifying state.
Register the Arifos MCP server in PolicyLayer and add a rule for arif_cc_memory_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 Arifos. Nothing to install.
arif_cc_memory_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 arif_cc_memory_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 arif_cc_memory_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.
arif_cc_memory_recall is provided by the Arifos MCP server (arifos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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