Medium Risk

flowforge_create_inline_function

Create an inline/serverless AI agent function that runs on the FlowForge server — an LLM drives execution using the listed tools, no endpoint_url is needed. For code you run on your own server instead, use flowforge_create_function. Tools referenced in the tools array must already exist (see flow...

High parameter count (13 properties)

Part of the Flowforge MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

flowforge-mcp-server Write Risk 2/5

AI agents use flowforge_create_inline_function to create or modify resources in Flowforge. 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 flowforge_create_inline_function repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Flowforge.

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

flowforge.yaml
tools:
  flowforge_create_inline_function:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Flowforge policy for all 49 tools.

Tool Name flowforge_create_inline_function
Category Write
Risk Level Medium

View all 49 tools →

Agents calling write-class tools like flowforge_create_inline_function have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the flowforge_create_inline_function tool do? +

Create an inline/serverless AI agent function that runs on the FlowForge server — an LLM drives execution using the listed tools, no endpoint_url is needed. For code you run on your own server instead, use flowforge_create_function. Tools referenced in the tools array must already exist (see flowforge_list_tools).. It is categorised as a Write tool in the Flowforge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on flowforge_create_inline_function? +

Add a rule in your Intercept YAML policy under the tools section for flowforge_create_inline_function. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Flowforge MCP server.

What risk level is flowforge_create_inline_function? +

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

Can I rate-limit flowforge_create_inline_function? +

Yes. Add a rate_limit block to the flowforge_create_inline_function 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.

How do I block flowforge_create_inline_function completely? +

Set action: deny in the Intercept policy for flowforge_create_inline_function. 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 flowforge_create_inline_function? +

flowforge_create_inline_function is provided by the Flowforge MCP server (flowforge-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Flowforge

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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