tool_with_context
A other tool on the Agent Jail MCP server.
This record as markdown: /tools/agent-jail-mcp/tool-with-context.md
What tool_with_context does on Agent Jail
AI agents call tool_with_context as a supporting operation in Agent Jail workflows.
Why tool_with_context is rated Low
With an empty description and a generic name that provides no clear indication of its function, it is impossible to reliably classify this tool into a specific risk category. The server context (LLM Wiki Research plugin) suggests research/read operations, but this cannot be confirmed. Defaulting to Other with very 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 Agent Jail, 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 Agent Jail, 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 Agent Jail MCP server. It is categorised as a Other tool in the Agent Jail MCP Server, which means it performs auxiliary operations.
Register the Agent Jail 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 Agent Jail. 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 Agent Jail MCP server (idiscoord13-sketch/agent-jail-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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