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What local_stores_get does on Tencent Ad MCP Server
AI agents call local_stores_get to retrieve information from Tencent Ad MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why local_stores_get is rated Low
This tool retrieves local store information from the Tencent Ads system. It performs no modifications, deletions, or external operations. The low severity reflects minimal blast radius—an AI agent misusing this tool would only access store data, not modify or delete anything.
From the tool's definition Tool name 'local_stores_get' and description '查询门店信息' (query/retrieve store information) indicate a retrieval operation. The '_get' suffix and verb '查询' (query/retrieve) confirm read-only data retrieval with no side effects.
Attacks that exploit this kind of access
The rule that runs local_stores_get safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tencent Ad MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For local_stores_get, this is the rule to start with:
local_stores_get is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Tencent Ad MCP Server, apply this rule, and every local_stores_get call is checked against it from then on.
Questions about local_stores_get
查询门店信息. It is categorised as a Read tool in the Tencent Ad MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Tencent Ad MCP Server MCP server in PolicyLayer and add a rule for local_stores_get: 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 Tencent Ad MCP Server. Nothing to install.
local_stores_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the local_stores_get 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 local_stores_get. 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.
local_stores_get is provided by the Tencent Ad MCP Server MCP server (andyleimc-source/tencent-ad-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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