Update the location of a Draft task. Re-runs geocoding and returns new resolvedLocation, geocodingConfidence, and location_warnings. Precondition: task must be in Draft or Published status. Once an operator has accepted the task, the address is locked — cancel the task and recreate it with the co...
Risk signalsHandles credentials or secrets (apiKey)
Part of the Molt2Meet server.
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AI agents use update_task_location to create or modify resources in Molt2Meet. 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 update_task_location 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 Molt2Meet.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"update_task_location": {
"limits": [
{
"counter": "update_task_location_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Molt2Meet policy for all 54 tools.
These attack patterns abuse exactly the kind of access update_task_location 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.
Update the location of a Draft task. Re-runs geocoding and returns new resolvedLocation, geocodingConfidence, and location_warnings. Precondition: task must be in Draft or Published status. Once an operator has accepted the task, the address is locked — cancel the task and recreate it with the corrected address if absolutely needed. Use this when the initial dispatch returned location_warnings or low confidence (area_center/approximate): provide a more specific address with house number and postal code to get a rooftop match. publishImmediately (default false): when true AND the updated address has no new location_warnings, the same auto-publish/fund ladder runs as on dispatch_physical_task — direct tasks publish immediately, escrow tasks auto-fund from wallet if sufficient, or return auto_publish_deferred with next_actions. Use this to correct a typo + go live in a single call. Requires authentication.. It is categorised as a Write tool in the Molt2Meet MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Molt2Meet MCP server in PolicyLayer and add a rule for update_task_location: 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 Molt2Meet. Nothing to install.
update_task_location 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 update_task_location 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 update_task_location. 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.
update_task_location is provided by the Molt2Meet MCP server (https://molt.molt2meet.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 54 Molt2Meet tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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