tool_with_context
A other tool on the IaC Memory MCP server.
This record as markdown: /tools/agentwong-iac-memory-mcp-server-project/tool-with-context.md
What tool_with_context does on IaC Memory MCP Server
AI agents call tool_with_context as a supporting operation in IaC Memory MCP Server workflows.
Why tool_with_context is rated Low
With an empty description and a generic name that provides no actionable signal about its behavior, it is impossible to reliably classify this tool. The server context (IaC memory, Terraform/Ansible) suggests possible Read or Write operations, but this is speculative. Defaulting to 'Other' with minimal confidence due to lack of evidence.
From the tool's definition Tool name is 'tool_with_context' with an empty description. No functional information is 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 IaC Memory MCP Server, 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 IaC Memory MCP Server, 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 IaC Memory MCP Server MCP server. It is categorised as a Other tool in the IaC Memory MCP Server MCP Server, which means it performs auxiliary operations.
Register the IaC Memory MCP Server 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 IaC Memory MCP Server. 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 IaC Memory MCP Server MCP server (agentwong/iac-memory-mcp-server-project). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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