Normalize any date range expression into ISO start/end dates and duration in months with confidence scoring.
Accepts freeform code/query input (expression)
Part of the Useful AI MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke useful_temporal_expression_normalizer to trigger processes or run actions in Useful AI. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
useful_temporal_expression_normalizer can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
useful_temporal_expression_normalizer:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Useful AI policy for all 27 tools.
Agents calling execute-class tools like useful_temporal_expression_normalizer have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
useful_temporal_expression_normalizer is one of the high-risk operations in Useful AI. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Normalize any date range expression into ISO start/end dates and duration in months with confidence scoring.. It is categorised as a Execute tool in the Useful AI MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for useful_temporal_expression_normalizer. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Useful AI MCP server.
useful_temporal_expression_normalizer is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the useful_temporal_expression_normalizer 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 useful_temporal_expression_normalizer. 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.
useful_temporal_expression_normalizer is provided by the Useful AI MCP server (useful-ai/useful-ai-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept