effect_probe

Verifica se uma acao no jogo produziu o efeito esperado.

SERVERMcp Godot Desenvolvimento SOURCEjoabcostamd/mcp-godot-desenvolvimento
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/mcp-godot-desenvolvimento/effect-probe.md

What effect_probe does on Mcp Godot Desenvolvimento

AI agents use effect_probe to create or update resources in Mcp Godot Desenvolvimento, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Godot Desenvolvimento environment.

Why effect_probe is rated Medium

An AI agent can call effect_probe faster than any human can review: one bad instruction and it creates or modifies resources in Mcp Godot Desenvolvimento by the hundred, each call as confident as the last.

Questions about effect_probe

What does the effect_probe tool do? +

Verifica se uma acao no jogo produziu o efeito esperado. It is categorised as a Write tool in the Mcp Godot Desenvolvimento MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on effect_probe? +

Register the Mcp Godot Desenvolvimento MCP server in PolicyLayer and add a rule for effect_probe: 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 Mcp Godot Desenvolvimento. Nothing to install.

What risk level is effect_probe? +

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

Can I rate-limit effect_probe? +

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

Set action: deny in the PolicyLayer policy for effect_probe. 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 effect_probe? +

effect_probe is provided by the Mcp Godot Desenvolvimento MCP server (joabcostamd/mcp-godot-desenvolvimento). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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