Medium Risk

configure_api_token

[UTILITY] Configure the Railway API token for authentication (only needed if not set in environment variables) ⚡️ Best for: ✓ Initial setup ✓ Token updates ✓ Authentication configuration ⚠️ Not for: × Project configuration × Service settings × Environment variables → Next steps: pr...

Handles credentials or secrets (token)

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

jason-tan-swe/railway-mcp Write Risk 3/5

AI agents use configure_api_token to create or modify resources in Railway MCP Server. 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 configure_api_token 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 Railway MCP Server.

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

jason-tan-swe-railway-mcp.yaml
tools:
  configure_api_token:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Railway MCP Server policy for all 38 tools.

Tool Name configure_api_token
Category Write
Risk Level Medium

View all 38 tools →

Agents calling write-class tools like configure_api_token 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 configure_api_token tool do? +

[UTILITY] Configure the Railway API token for authentication (only needed if not set in environment variables) ⚡️ Best for: ✓ Initial setup ✓ Token updates ✓ Authentication configuration ⚠️ Not for: × Project configuration × Service settings × Environment variables → Next steps: project_list, service_list → Related: project_create. It is categorised as a Write tool in the Railway MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on configure_api_token? +

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

What risk level is configure_api_token? +

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

Can I rate-limit configure_api_token? +

Yes. Add a rate_limit block to the configure_api_token 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 configure_api_token completely? +

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

configure_api_token is provided by the Railway MCP Server MCP server (jason-tan-swe/railway-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Railway MCP Server

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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