validate_packaging
Run the build-preflight packaging checks against the project
This record as markdown: /tools/ai-featureboard-featureboard/validate-packaging.md
What validate_packaging does on FeatureBoard
AI agents invoke validate_packaging to trigger actions in FeatureBoard. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why validate_packaging is rated High
The tool executes a build/packaging validation process (preflight checks), which triggers external operations. It does not merely read data but actively runs checks that may invoke build tooling, scripts, or system commands. Severity is medium as it is a read-like execution (validation only), but misuse could trigger unintended build processes or expose build configuration details.
From the tool's definition 'Run the build-preflight packaging checks against the project' — explicitly runs a process against the project
Attacks that exploit this kind of access
The rule that runs validate_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 validate_packaging, this is the rule to start with:
validate_packaging stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 validate_packaging call is checked against it from then on.
Questions about validate_packaging
Run the build-preflight packaging checks against the project. It is categorised as a Execute tool in the FeatureBoard MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for validate_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.
validate_packaging is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the validate_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 validate_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.
validate_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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