tool_with_context
A other tool on the Optimized Memory MCP Server V2 MCP server.
This record as markdown: /tools/agentwong-optimized-memory-mcp-serverv2/tool-with-context.md
What tool_with_context does on Optimized Memory MCP Server V2
AI agents call tool_with_context as a supporting operation in Optimized Memory MCP Server V2 workflows.
Why tool_with_context is rated Low
With an empty description and an uninformative name, there is no basis to assign a meaningful risk category. Sibling tools suggest a memory/knowledge-graph server, but 'tool_with_context' could be anything. Defaulting to Other with low confidence.
From the tool's definition Tool name is 'tool_with_context' and description is empty; no actionable information available to determine what this tool does.
Attacks that exploit this kind of access
The rule that runs tool_with_context safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Optimized Memory MCP Server V2, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tool_with_context, this is the rule to start with:
tool_with_context gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Optimized Memory MCP Server V2, apply this rule, and every tool_with_context call is checked against it from then on.
Questions about tool_with_context
tool_with_context is a other tool on the Optimized Memory MCP Server V2 MCP server. It is categorised as a Other tool in the Optimized Memory MCP Server V2 MCP Server, which means it performs auxiliary operations.
Register the Optimized Memory MCP Server V2 MCP server in PolicyLayer and add a rule for tool_with_context: 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 Optimized Memory MCP Server V2. Nothing to install.
tool_with_context is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tool_with_context 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 tool_with_context. 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.
tool_with_context is provided by the Optimized Memory MCP Server V2 MCP server (agentwong/optimized-memory-mcp-serverv2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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