Create a new feature flag. Boolean features are simple on/off switches - the most commonly used type, ideal for enabling/disabling functionality and basic plan differentiation. Event-based features are metered against user events and track usage that typically increases over time (e.g., API calls...
Part of the Schematic MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use create_feature to create or modify resources in Schematic. 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_feature 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 Schematic.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
create_feature:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Schematic policy for all 15 tools.
Agents calling write-class tools like create_feature 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 new feature flag. Boolean features are simple on/off switches - the most commonly used type, ideal for enabling/disabling functionality and basic plan differentiation. Event-based features are metered against user events and track usage that typically increases over time (e.g., API calls, reports generated, database queries). Trait-based features are based on information reported to Schematic and can track usage that fluctuates up and down (e.g., user seats, projects, devices). Trait-based features must be created in the web app. Optionally entitle the feature to a plan in the same call.. It is categorised as a Write tool in the Schematic 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_feature. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Schematic MCP server.
create_feature 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_feature 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_feature. 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_feature is provided by the Schematic MCP server (@schematichq/schematic-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