往小程序的 AppService（逻辑层）注入并执行自定义 JavaScript 代码，返回执行结果。可用于动态修改页面数据、调用页面方法或进行复杂业务逻辑验证。
Part of the Wechat Devtools MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call evaluate to retrieve information from Wechat Devtools without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though evaluate only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
evaluate:
rules:
- action: allowSee the full Wechat Devtools policy for all 55 tools.
Agents calling read-class tools like evaluate have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
往小程序的 AppService（逻辑层）注入并执行自定义 JavaScript 代码，返回执行结果。可用于动态修改页面数据、调用页面方法或进行复杂业务逻辑验证。. It is categorised as a Read tool in the Wechat Devtools MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for evaluate. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Wechat Devtools MCP server.
evaluate 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 evaluate rule in your Intercept 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 Intercept policy for evaluate. 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.
evaluate is provided by the Wechat Devtools MCP server (wechat-devtools-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept