agent_handshake
AI agents call agent_handshake as a supporting operation in MidOS - MCP Community Library workflows.
The name suggests an initialization or coordination action between agents, which could be a Read or Write operation, but without a description it's impossible to determine side effects. Given the server context (curated knowledge API, skill packs) and sibling tools, this likely performs some form of session/identity negotiation. With no description to confirm, confidence is low and Other is the safest classification.
From the tool's definition Tool name is 'agent_handshake'; description is empty or uninformative.
Attacks that exploit this kind of access
agent_handshake. It is categorised as a Other tool in the MidOS - MCP Community Library MCP Server, which means it performs auxiliary operations.
Register the MidOS - MCP Community Library MCP server in PolicyLayer and add a rule for agent_handshake: 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 MidOS - MCP Community Library. Nothing to install.
agent_handshake 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 agent_handshake 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 agent_handshake. 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.
agent_handshake is provided by the MidOS - MCP Community Library MCP server (midos-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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