review_memory

review_memory

Server Chronos MCP kodaxadev/chronosmcp
Category Read
Risk class Low
Parameters 00 required

What review_memory does on Chronos MCP

AI agents call review_memory to retrieve information from Chronos MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why review_memory needs a policy

This tool most likely retrieves or queries stored memory/knowledge graph data without modification. The 'review' prefix suggests inspection or reading of existing data. With sibling tools like 'get_memory' and analytical functions, this appears to be a read-only operation that accesses the persistent local memory system.

From the tool's definition Tool name 'review_memory' combined with server context showing memory retrieval capabilities (get_memory, get_memory_health, analyze_* tools). No parameters or destructive operations indicated. Description is empty, which slightly reduces confidence.

Questions about review_memory

What does the review_memory tool do? +

review_memory. It is categorised as a Read tool in the Chronos MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on review_memory? +

Register the Chronos MCP server in PolicyLayer and add a rule for review_memory: 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 Chronos MCP. Nothing to install.

What risk level is review_memory? +

review_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit review_memory? +

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

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

review_memory is provided by the Chronos MCP server (kodaxadev/chronosmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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