Approve a preview and start full validation processing. job_id: the session_id value — "job_id" and "session_id" are the same string. approved_cost_usd MUST be provided and must match the estimated cost from the preview_complete response. This prevents accidental billing without first reviewing p...
Part of the Hyperplexity server.
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AI agents use approve_validation to create or modify resources in Hyperplexity. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call approve_validation repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Hyperplexity.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"approve_validation": {
"limits": [
{
"counter": "approve_validation_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Hyperplexity policy for all 16 tools.
These attack patterns abuse exactly the kind of access approve_validation gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Approve a preview and start full validation processing. job_id: the session_id value — "job_id" and "session_id" are the same string. approved_cost_usd MUST be provided and must match the estimated cost from the preview_complete response. This prevents accidental billing without first reviewing preview results and the cost estimate. Workflow: 1. Call wait_for_job to reach preview_complete — read the inline preview_table (3-row sample) and cost_estimate.estimated_total_cost_usd from the response 2. Call approve_validation(job_id=<session_id>, approved_cost_usd=<that value>). It is categorised as a Write tool in the Hyperplexity MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hyperplexity MCP server in PolicyLayer and add a rule for approve_validation: 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 Hyperplexity. Nothing to install.
approve_validation is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the approve_validation 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 approve_validation. 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.
approve_validation is provided by the Hyperplexity MCP server (hyperplexity/hyperplexity). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 16 Hyperplexity tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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