add_feature

add_feature

Server Sablier MCP Server sablier-ai/sablier-mcp
Category Write
Risk class Medium
Parameters 00 required

What add_feature does on Sablier MCP Server

AI agents use add_feature to create or update resources in Sablier MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sablier MCP Server environment.

Why add_feature needs a policy

The name 'add_feature' implies creation or modification of data (Write category). Given the server's purpose around portfolio analysis and stress-testing, this likely creates or appends features to a dataset. However, confidence is moderate (0.60) because the description is empty, preventing certainty about scope, reversibility, or whether it modifies user data or internal state.

From the tool's definition Tool name 'add_feature' suggests data modification; server context indicates portfolio analysis and feature engineering for financial modeling.

Questions about add_feature

What does the add_feature tool do? +

add_feature. It is categorised as a Write tool in the Sablier MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_feature? +

Register the Sablier MCP Server MCP server in PolicyLayer and add a rule for add_feature: 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 Sablier MCP Server. Nothing to install.

What risk level is add_feature? +

add_feature is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_feature? +

Yes. Add a rate_limit block to the add_feature 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.

How do I block add_feature completely? +

Set action: deny in the PolicyLayer policy for add_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.

What MCP server provides add_feature? +

add_feature is provided by the Sablier MCP Server MCP server (sablier-ai/sablier-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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