Prueba las capacidades del modelo en diferentes áreas: razonamiento, código, creatividad, hechos, instrucciones
AI agents invoke llm_test_capabilities to trigger actions in LLM MCP Bridge. 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 actively tests/runs prompts against an external LLM API across multiple capability areas (reasoning, code, creativity, facts, instructions). This triggers external API calls and executes test operations, placing it in the Execute category. The severity is medium as misuse could incur API costs or trigger unintended code generation, but blast radius is limited to the LLM API context.
From the tool's definition 'Prueba las capacidades del modelo en diferentes áreas: razonamiento, código, creatividad, hechos, instrucciones' — runs active capability tests against an LLM model across multiple domains including code execution
Attacks that exploit this kind of access
Prueba las capacidades del modelo en diferentes áreas: razonamiento, código, creatividad, hechos, instrucciones. It is categorised as a Execute tool in the LLM MCP Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the LLM MCP Bridge MCP server in PolicyLayer and add a rule for llm_test_capabilities: 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 LLM MCP Bridge. Nothing to install.
llm_test_capabilities 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 llm_test_capabilities 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 llm_test_capabilities. 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.
llm_test_capabilities is provided by the LLM MCP Bridge MCP server (ramgeart/llm-mcp-bridge). 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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