should_delegate_to_agent
A other tool on the AgentVeil Protocol MCP server.
This record as markdown: /tools/agentveil-protocol-agentveil-sdk/should-delegate-to-agent.md
What should_delegate_to_agent does on AgentVeil Protocol
AI agents call should_delegate_to_agent as a supporting operation in AgentVeil Protocol workflows.
Why should_delegate_to_agent is rated Low
The tool name implies it evaluates whether to delegate work to an agent, which sounds like a read/query operation returning a boolean or recommendation. However, with an empty description, it's unclear if it has side effects (e.g., logging the delegation decision via log_avp_interaction sibling tool behavior).
From the tool's definition Tool name 'should_delegate_to_agent' with empty description. Name suggests a decision/recommendation function about delegation.
Attacks that exploit this kind of access
The rule that runs should_delegate_to_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AgentVeil Protocol, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For should_delegate_to_agent, this is the rule to start with:
should_delegate_to_agent 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 AgentVeil Protocol, apply this rule, and every should_delegate_to_agent call is checked against it from then on.
Questions about should_delegate_to_agent
should_delegate_to_agent is a other tool on the AgentVeil Protocol MCP server. It is categorised as a Other tool in the AgentVeil Protocol MCP Server, which means it performs auxiliary operations.
Register the AgentVeil Protocol MCP server in PolicyLayer and add a rule for should_delegate_to_agent: 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 AgentVeil Protocol. Nothing to install.
should_delegate_to_agent 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 should_delegate_to_agent 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 should_delegate_to_agent. 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.
should_delegate_to_agent is provided by the AgentVeil Protocol MCP server (agentveil-protocol/agentveil-sdk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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