Create and save a feature specification to Rampify. IMPORTANT: Before calling this tool, YOU (Claude) must generate the complete structured spec from the user
AI agents use create_feature_spec to create or update resources in Rampify MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rampify MCP Server environment.
This is a Write operation because it creates and saves data (feature specifications) to a backend service. The severity is medium rather than high because feature specs are reversible (can typically be updated or deleted), affect configuration/planning rather than production systems or financial data, and the impact is limited to the user's Rampify account.
From the tool's definition Tool description states 'Create and save a feature specification' — this performs a create operation that modifies data. The instruction emphasizes that Claude must generate the spec before calling, indicating the tool persists data to Rampify.
Attacks that exploit this kind of access
Create and save a feature specification to Rampify. IMPORTANT: Before calling this tool, YOU (Claude) must generate the complete structured spec from the user. It is categorised as a Write tool in the Rampify MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rampify MCP Server MCP server in PolicyLayer and add a rule for create_feature_spec: 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 Rampify MCP Server. Nothing to install.
create_feature_spec 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_spec 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 create_feature_spec. 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_spec is provided by the Rampify MCP Server MCP server (rampify-dev/rampify-mcp). 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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