resolve_date_range
AI agents use resolve_date_range to create or update resources in TrendRadar — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TrendRadar environment.
An AI agent can call resolve_date_range faster than any human can review — one bad instruction and it creates or modifies resources in TrendRadar by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
resolve_date_range. It is categorised as a Write tool in the TrendRadar MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TrendRadar MCP server in PolicyLayer and add a rule for resolve_date_range: 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 TrendRadar. Nothing to install.
resolve_date_range 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 resolve_date_range 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 resolve_date_range. 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.
resolve_date_range is provided by the TrendRadar MCP server (xhh-im/trendradar). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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