This record as markdown: /tools/andyleimc-source-tencent-ad-mcp/local-stores-update.md
What local_stores_update does on Tencent Ad MCP Server
AI agents use local_stores_update to create or update resources in Tencent Ad MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tencent Ad MCP Server environment.
Why local_stores_update is rated Medium
The tool updates local store information, which is a write operation that modifies data but does not delete or destroy it. Given this is part of an advertising platform API managing business store data, the severity is medium—incorrect updates could affect business operations and customer-facing information, but changes are reversible.
From the tool's definition Tool name 'local_stores_update' and description '更新门店信息' (update store information) indicate a modification operation on store/location data. This is a reversible update operation, not destructive deletion.
Attacks that exploit this kind of access
The rule that runs local_stores_update 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_update, this is the rule to start with:
local_stores_update stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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_update call is checked against it from then on.
Questions about local_stores_update
更新门店信息. It is categorised as a Write tool in the Tencent Ad MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tencent Ad MCP Server MCP server in PolicyLayer and add a rule for local_stores_update: 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_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the local_stores_update 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_update. 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_update 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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