AI agents invoke corrigir_bug to trigger actions in Maestro. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool name 'corrigir_bug' means 'fix bug' in Portuguese, and its description 'Fluxo de correção de bug' means 'bug correction flow'. In the context of an autonomous AI-assisted development server with auto-correction and native pipelines, this tool likely executes an automated workflow that modifies code, runs tests, and applies fixes.
From the tool's definition 'Fluxo de correção de bug' (bug correction flow) and 'auto_fix' sibling tool suggest automated code modification and execution pipelines
Attacks that exploit this kind of access
[Interno] Fluxo de correção de bug. It is categorised as a Execute tool in the Maestro MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Maestro MCP server in PolicyLayer and add a rule for corrigir_bug: 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 Maestro. Nothing to install.
corrigir_bug 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 corrigir_bug 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.
Set action: deny in the PolicyLayer policy for corrigir_bug. 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.
corrigir_bug is provided by the Maestro MCP server (matheus-gama-deluna/maestro). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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