get_messages
AI agents call get_messages to retrieve information from Frida Agent MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the tool name 'get_messages' in the context of a Frida dynamic analysis tool strongly suggests data retrieval rather than side-effectful operations. However, confidence is moderate (0.7) due to lack of explicit documentation.
From the tool's definition Tool name 'get_messages' and sibling tools like 'logcat' and 'spawn_and_inject' indicate this retrieves message or log data from a Frida Android debugging session.
Attacks that exploit this kind of access
get_messages. It is categorised as a Read tool in the Frida Agent MCP MCP Server, which means it retrieves data without modifying state.
Register the Frida Agent MCP server in PolicyLayer and add a rule for get_messages: 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 Frida Agent MCP. Nothing to install.
get_messages 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 get_messages 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 get_messages. 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.
get_messages is provided by the Frida Agent MCP server (1193776794/frida-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
get_messages is one line of Frida Agent's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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