shelly_discover_save_and_validate

// WHEN AI AGENTS USE THIS TOOL

AI agents use shelly_discover_save_and_validate to create or modify resources in Shelly. 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.

// WHY ENFORCE A POLICY ON SHELLY_DISCOVER_SAVE_AND_VALIDATE

Without a policy, an AI agent could call shelly_discover_save_and_validate 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 Shelly.

// RECOMMENDED POLICY

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

shelly.yaml

tools:
  shelly_discover_save_and_validate:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Shelly policy for all 9 tools.

// DETAILS

Tool Name shelly_discover_save_and_validate

Category Write

MCP Server Shelly MCP Server

Risk Level Medium

// MORE SHELLY TOOLS

Write shelly_cover_control Write shelly_discover_and_save_devices Write shelly_rpc_call Write shelly_switch_set Write shelly_update_device_credentials Read shelly_get_device_info Read shelly_get_status Read shelly_list_devices

View all 9 tools →

// WHAT CAN GO WRONG

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

Browse the full MCP Attack Database →

// OTHER WRITE TOOLS ACROSS MCP SERVERS

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

Firecrawl Web Scraping Server firecrawl_generate_llmstxt AbraFlexi contact_create AbraFlexi contact_update AbraFlexi evidence_create AbraFlexi evidence_update AbraFlexi invoice_issued_update

// RELATED READING

// FAQ

What does the shelly_discover_save_and_validate tool do? +

Discover devices, save them to JSON, then validate connectivity using Shelly.GetStatus.. It is categorised as a Write tool in the Shelly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on shelly_discover_save_and_validate? +

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

What risk level is shelly_discover_save_and_validate? +

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

Can I rate-limit shelly_discover_save_and_validate? +

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

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

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

Let agents act without letting them run wild.