This record as markdown: /tools/io-github-fullread-deepadb/adb-gradle.md
What adb_gradle does on Deepadb
AI agents invoke adb_gradle to trigger actions in Deepadb. 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 adb_gradle is rated High
Gradle tasks can execute arbitrary code during the build process, including custom plugins, shell commands, and side effects that depend on the task arguments. This falls squarely into Execute rather than Write because the effects are not limited to reversible data modifications—Gradle can invoke compilers, run tests, download dependencies, and trigger external systems.
From the tool's definition Tool name 'adb_gradle' and description 'Run a Gradle task in an Android project directory' indicate execution of arbitrary Gradle build tasks, which can compile code, run tests, execute plugins, and trigger external operations.
Attacks that exploit this kind of access
The rule that runs adb_gradle safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deepadb, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adb_gradle, this is the rule to start with:
adb_gradle 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 Deepadb, apply this rule, and every adb_gradle call is checked against it from then on.
Questions about adb_gradle
Run a Gradle task in an Android project directory. It is categorised as a Execute tool in the Deepadb MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Deepadb MCP server in PolicyLayer and add a rule for adb_gradle: 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 Deepadb. Nothing to install.
adb_gradle 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 adb_gradle 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 adb_gradle. 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.
adb_gradle is provided by the Deepadb MCP server (deepadb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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