AI agents invoke gradle-build to trigger actions in Build. 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.
Gradle builds execute build scripts and plugins with side effects that depend on project configuration and arguments. This falls under Execute category as it runs external operations (build tasks, plugins) whose effects depend on the build configuration and arguments provided.
From the tool's definition Tool name 'gradle-build' indicates execution of Gradle build commands. Description states 'Runs' (incomplete but clearly indicates execution). Gradle build execution can trigger arbitrary code during build phases (plugins, scripts, tasks).
Attacks that exploit this kind of access
Runs. It is categorised as a Execute tool in the Build MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Build MCP server in PolicyLayer and add a rule for gradle-build: 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 Build. Nothing to install.
gradle-build 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 gradle-build 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 gradle-build. 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.
gradle-build is provided by the Build MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.