Medium Risk

generate_requirements

需求文档生成:从需求文档(PRD/文件/网页)和可选的设计稿、后端文档生成结构化的 requirements.md。工具会按顺序处理输入材料,最终生成到 .specs/requirements/{featureName}/requirements.md。触发词:生成需求文档、需求分析、requirements

Risk signalsAccepts file system path (requirementSource.path) · Accepts URL/endpoint input (requirementSource.url) · High parameter count (13 properties)

Part of the Bmall server.

generate_requirements can modify Bmall data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use generate_requirements to create or modify resources in Bmall. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_requirements repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Bmall.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_requirements": {
      "limits": [
        {
          "counter": "generate_requirements_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Bmall policy for all 8 tools.

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These attack patterns abuse exactly the kind of access generate_requirements gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so generate_requirements only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_requirements tool do? +

需求文档生成:从需求文档(PRD/文件/网页)和可选的设计稿、后端文档生成结构化的 requirements.md。工具会按顺序处理输入材料,最终生成到 .specs/requirements/{featureName}/requirements.md。触发词:生成需求文档、需求分析、requirements. It is categorised as a Write tool in the Bmall MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_requirements? +

Register the Bmall MCP server in PolicyLayer and add a rule for generate_requirements: 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 Bmall. Nothing to install.

What risk level is generate_requirements? +

generate_requirements is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_requirements? +

Yes. Add a rate_limit block to the generate_requirements 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.

How do I block generate_requirements completely? +

Set action: deny in the PolicyLayer policy for generate_requirements. 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.

What MCP server provides generate_requirements? +

generate_requirements is provided by the Bmall MCP server (bmall-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bmall tool call.

Deterministic rules across all 8 Bmall tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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