hiveagent_privacy_prove
Generate a zero-knowledge proof. Prove you meet a threshold without revealing the actual value. e.g., 'I have at least $100' without showing your balance.
This record as markdown: /tools/hiveagentiq-hiveagent/hiveagent-privacy-prove.md
What hiveagent_privacy_prove does on Hiveagent
AI agents invoke hiveagent_privacy_prove to trigger actions in Hiveagent. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | — | |
threshold | number | — | |
proof_type | string | — |
Parameters from the server's own tool schema.
Why hiveagent_privacy_prove is rated High
This tool executes a cryptographic computation (zero-knowledge proof generation) based on provided inputs. It triggers an external operation whose output depends on arguments (the value and threshold). It doesn't directly read stored data, write persistent records, or destroy anything — it runs a proof-generation process, placing it in Execute.
From the tool's definition 'Generate a zero-knowledge proof. Prove you meet a threshold without revealing the actual value.'
Attacks that exploit this kind of access
The rule that runs hiveagent_privacy_prove safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hiveagent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hiveagent_privacy_prove, this is the rule to start with:
hiveagent_privacy_prove stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hiveagent, apply this rule, and every hiveagent_privacy_prove call is checked against it from then on.
Questions about hiveagent_privacy_prove
Generate a zero-knowledge proof. Prove you meet a threshold without revealing the actual value. e.g., 'I have at least $100' without showing your balance. It is categorised as a Execute tool in the Hiveagent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
hiveagent_privacy_prove accepts 3 parameters: agent_id, threshold, proof_type. The full parameter table on this page comes from the server's own tool schema.
Register the Hiveagent MCP server in PolicyLayer and add a rule for hiveagent_privacy_prove: 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 Hiveagent. Nothing to install.
hiveagent_privacy_prove is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the hiveagent_privacy_prove 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 hiveagent_privacy_prove. 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.
hiveagent_privacy_prove is provided by the Hiveagent MCP server (hiveagentiq/hiveagent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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