Create a formatted timestamp range from start and end timestamps. This tool formats a range of timestamps for display, useful for showing training periods, evaluation periods, or other time ranges. Args: start_timestamp: Start Unix epoch timestamp end_timestamp: End Unix epoch timestamp...
Part of the AWS IoT SiteWise MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use create_timestamp_range to create or modify resources in AWS IoT SiteWise MCP Server. 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 create_timestamp_range repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AWS IoT SiteWise MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
create_timestamp_range:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full AWS IoT SiteWise MCP Server policy for all 72 tools.
Agents calling write-class tools like create_timestamp_range have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Create a formatted timestamp range from start and end timestamps. This tool formats a range of timestamps for display, useful for showing training periods, evaluation periods, or other time ranges. Args: start_timestamp: Start Unix epoch timestamp end_timestamp: End Unix epoch timestamp format_string: Python strftime format string for output formatting Returns: Dictionary containing formatted range and individual conversions Example: # Create a training period range result = create_timestamp_range(1727740800, 1729123200) # Returns formatted range like "October 01, 2024 - October 17, 2024". It is categorised as a Write tool in the AWS IoT SiteWise MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for create_timestamp_range. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS IoT SiteWise MCP Server MCP server.
create_timestamp_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 create_timestamp_range rule in your Intercept 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 Intercept policy for create_timestamp_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.
create_timestamp_range is provided by the AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.