AI agents call cache_get to retrieve information from Dobbe without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries cached data (likely DevOps workflow results) and returns stored information. There is no modification, deletion, code execution, or financial impact. It is a straightforward read operation with minimal blast radius even if misused, as it only exposes previously computed results that are already stored in the system.
From the tool's definition Tool name is 'cache_get' and description states 'Retrieve a cached result' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
Retrieve a cached result (e.g., previous scan results). Returns null if expired or missing. It is categorised as a Read tool in the Dobbe MCP Server, which means it retrieves data without modifying state.
Register the Dobbe MCP server in PolicyLayer and add a rule for cache_get: 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 Dobbe. Nothing to install.
cache_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the cache_get 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 cache_get. 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.
cache_get is provided by the Dobbe MCP server (nareshnavinash/dobbe-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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