⚡ DIAGNOSTIC & AUTO-FIX TOOL ⚡ [TRIGGER KEYWORDS] diagnose | check configuration | verify setup | fix config | configuration problem | setup issue | missing dependency | not configured [PRIMARY PURPOSE] Diagnose Flutter project configuration and automatically fix common issues. [USE WHEN] • Co...
Part of the Flutter Skill MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke diagnose_project to trigger processes or run actions in Flutter Skill. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
diagnose_project can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
diagnose_project:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Flutter Skill policy for all 13 tools.
Agents calling execute-class tools like diagnose_project have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
diagnose_project is one of the high-risk operations in Flutter Skill. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
⚡ DIAGNOSTIC & AUTO-FIX TOOL ⚡ [TRIGGER KEYWORDS] diagnose | check configuration | verify setup | fix config | configuration problem | setup issue | missing dependency | not configured [PRIMARY PURPOSE] Diagnose Flutter project configuration and automatically fix common issues. [USE WHEN] • Connection problems ("not connected", "VM Service not found") • Setup verification before testing • Troubleshooting configuration issues • First-time project setup [CHECKS PERFORMED] • pubspec.yaml - flutter_skill dependency • lib/main.dart - FlutterSkillBinding initialization • Running processes - Flutter app status • Port availability - VM Service ports [AUTO-FIX OPTIONS] • auto_fix: true (default) - Automatically fix detected issues • auto_fix: false - Only report issues without fixing [RETURNS] Detailed diagnostic report with: • Configuration status (✅/❌) • Detected issues • Auto-fix results • Recommendations. It is categorised as a Execute tool in the Flutter Skill MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for diagnose_project. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Flutter Skill MCP server.
diagnose_project is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the diagnose_project 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 diagnose_project. 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.
diagnose_project is provided by the Flutter Skill MCP server (flutter-skill). 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