memory_working

Get or manage the working memory buffer - the active context window for the current session.

Server MCP Router justinpreston/mcp-router
Category Read
Risk class Low
Parameters 00 required

What memory_working does on MCP Router

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

Why memory_working needs a policy

The primary function described is 'Get or manage' the working memory buffer. 'Get' is a read operation. 'Manage' is ambiguous and could imply write operations, but in context of a working memory/active context window, this is most likely a read-oriented retrieval of the current session's context. Given the ambiguity of 'manage', confidence is moderate.

From the tool's definition 'Get or manage the working memory buffer - the active context window for the current session'

Questions about memory_working

What does the memory_working tool do? +

Get or manage the working memory buffer - the active context window for the current session. It is categorised as a Read tool in the MCP Router MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_working? +

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

What risk level is memory_working? +

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

Can I rate-limit memory_working? +

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

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

memory_working is provided by the MCP Router MCP server (justinpreston/mcp-router). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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