suggest_packaging
AI-gen seed: derive a draft of the .mcpb packaging metadata (name, displayName, description, keywords) from the project
This record as markdown: /tools/ai-featureboard-featureboard/suggest-packaging.md
What suggest_packaging does on FeatureBoard
AI agents use suggest_packaging to create or update resources in FeatureBoard, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FeatureBoard environment.
Why suggest_packaging is rated Medium
This tool generates and potentially writes packaging metadata based on project information. It is a Write operation because it creates new structured data (metadata fields) that would typically be stored or used downstream. The severity is low because metadata generation has minimal blast radius—incorrect packaging metadata would not cause data loss, financial impact, or direct system harm.
From the tool's definition Tool description states it will 'derive a draft of the .mcpb packaging metadata' which involves creating or generating data.
Attacks that exploit this kind of access
The rule that runs suggest_packaging safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For suggest_packaging, this is the rule to start with:
suggest_packaging stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect FeatureBoard, apply this rule, and every suggest_packaging call is checked against it from then on.
Questions about suggest_packaging
AI-gen seed: derive a draft of the .mcpb packaging metadata (name, displayName, description, keywords) from the project. It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for suggest_packaging: 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 FeatureBoard. Nothing to install.
suggest_packaging 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 suggest_packaging 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 suggest_packaging. 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.
suggest_packaging is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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