permission_grant
Grant app permission (Android runtime / iOS privacy)
This record as markdown: /tools/alexgladkov-claude-in-mobile/permission-grant.md
What permission_grant does on Claude Mobile
AI agents invoke permission_grant to trigger actions in Claude Mobile. 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 permission_grant is rated High
Granting permissions to apps on Android or iOS modifies security settings and access controls for the device. This is an Execute-level action that triggers external OS-level operations with real security implications — it can enable apps to access sensitive resources (camera, microphone, location, contacts, etc.).
From the tool's definition Grant app permission (Android runtime / iOS privacy)
Attacks that exploit this kind of access
The rule that runs permission_grant safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Mobile, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For permission_grant, this is the rule to start with:
permission_grant 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 Claude Mobile, apply this rule, and every permission_grant call is checked against it from then on.
Questions about permission_grant
Grant app permission (Android runtime / iOS privacy). It is categorised as a Execute tool in the Claude Mobile MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Mobile MCP server in PolicyLayer and add a rule for permission_grant: 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 Claude Mobile. Nothing to install.
permission_grant 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 permission_grant 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 permission_grant. 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.
permission_grant is provided by the Claude Mobile MCP server (alexgladkov/claude-in-mobile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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