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save_packaging_config

Persist the .mcpb packaging metadata for a project (packaging.json): name (slugified), displayName, description, longDescription, keywords, version. Validated by the same rules the build preflight uses; rejects hard errors (missing name/description). Only provided fields change.

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/save-packaging-config.md

What save_packaging_config does on FeatureBoard

AI agents use save_packaging_config 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 save_packaging_config is rated Medium

This tool modifies project configuration files (packaging.json) by persisting metadata fields. This is a Write operation because it changes data reversibly without deleting or executing arbitrary code. While the blast radius is medium (misconfigured packaging could affect project distribution/CI), it is not Execute (no code execution) or Destructive (changes are reversible).

From the tool's definition 'Persist the .mcpb packaging metadata for a project (packaging.json)' and 'Only provided fields change' indicate modification of configuration data. The tool creates or updates project packaging metadata in a reversible manner.

Questions about save_packaging_config

What does the save_packaging_config tool do? +

Persist the .mcpb packaging metadata for a project (packaging.json): name (slugified), displayName, description, longDescription, keywords, version. Validated by the same rules the build preflight uses; rejects hard errors (missing name/description). Only provided fields change. 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.

How do I enforce a policy on save_packaging_config? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for save_packaging_config: 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.

What risk level is save_packaging_config? +

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

Can I rate-limit save_packaging_config? +

Yes. Add a rate_limit block to the save_packaging_config 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 save_packaging_config completely? +

Set action: deny in the PolicyLayer policy for save_packaging_config. 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 save_packaging_config? +

save_packaging_config 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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