Decide whether an action should be allowed to proceed. Runs full validation, then applies the Blueprint's execution gate. Returns a simple allow/block decision with reasoning. Use this when your agent is about to take a real-world action (payment, filing, API call, data write) and needs a determi...
Risk signalsHandles credentials or secrets (api_key)
Part of the Governance Platform server.
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AI agents use authorize_execution to create or modify resources in Governance Platform. 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 authorize_execution 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 Governance Platform.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"authorize_execution": {
"limits": [
{
"counter": "authorize_execution_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Governance Platform policy for all 31 tools.
These attack patterns abuse exactly the kind of access authorize_execution 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.
Decide whether an action should be allowed to proceed. Runs full validation, then applies the Blueprint's execution gate. Returns a simple allow/block decision with reasoning. Use this when your agent is about to take a real-world action (payment, filing, API call, data write) and needs a deterministic go/no-go. Different from validate: validate says "is this data correct?" authorize_execution says "should this action happen?" Args: api_key: GeodesicAI API key (starts with gai_) structured_data: The data associated with the action blueprint: Blueprint governing this action type. It is categorised as a Write tool in the Governance Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Governance Platform MCP server in PolicyLayer and add a rule for authorize_execution: 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 Governance Platform. Nothing to install.
authorize_execution 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 authorize_execution 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 authorize_execution. 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.
authorize_execution is provided by the Governance Platform MCP server (https://app.geodesiclabs.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 31 Governance Platform tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.