check_permission_risks

Enumerate privileged roles on a contract (Ownable.owner, AccessControl hints) and classify holders as EOA, Gnosis Safe multisig, or TimelockController. SCOPE: surfaces governance posture (who controls the contract, how hard would it be to rug). It does NOT measure token upside, price direction, o...

Server VaultPilot MCP vaultpilot-mcp
Category Read
Risk class Low
Parameters 22 required

What check_permission_risks does on VaultPilot MCP

AI agents call check_permission_risks to retrieve information from VaultPilot MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
chain string Yes
address string Yes

Parameters from the server's own tool schema.

Why check_permission_risks needs a policy

Even though check_permission_risks only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Risk signalsAdmin/system-level operation

Questions about check_permission_risks

What does the check_permission_risks tool do? +

Enumerate privileged roles on a contract (Ownable.owner, AccessControl hints) and classify holders as EOA, Gnosis Safe multisig, or TimelockController. SCOPE: surfaces governance posture (who controls the contract, how hard would it be to rug). It does NOT measure token upside, price direction, or investment merit. A timelock-governed contract is harder to rug than an EOA-owned one — that's a safety floor, NOT an upside signal. AGENT BEHAVIOR: this tool surfaces data; it does NOT pick. Do NOT cite "governed by a multisig / timelock" as token-pick validation. Refuse speculative-pick prompts ("what coin will 100x", "should I buy X", "which token will moon") even when this tool was called; surface the permission findings for due-diligence only. Issue #599. It is categorised as a Read tool in the VaultPilot MCP MCP Server, which means it retrieves data without modifying state.

What parameters does check_permission_risks accept? +

check_permission_risks accepts 2 parameters: chain, address. Required: chain, address. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on check_permission_risks? +

Register the VaultPilot MCP server in PolicyLayer and add a rule for check_permission_risks: 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 VaultPilot MCP. Nothing to install.

What risk level is check_permission_risks? +

check_permission_risks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit check_permission_risks? +

Yes. Add a rate_limit block to the check_permission_risks 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.

How do I block check_permission_risks completely? +

Set action: deny in the PolicyLayer policy for check_permission_risks. 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.

What MCP server provides check_permission_risks? +

check_permission_risks is provided by the VaultPilot MCP server (vaultpilot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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