spraay_free_chat
Send a message to a free AI model from the open models catalog (Llama, Mistral, and more). Returns the model
This record as markdown: /tools/io-github-plagtech-spraay-x402-mcp/spraay-free-chat.md
What spraay_free_chat does on Spraay X402 Mcp
AI agents invoke spraay_free_chat to trigger actions in Spraay X402 Mcp. 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.
Why spraay_free_chat is rated High
This tool sends user-supplied messages to external AI models and returns responses. It triggers an external operation (AI inference) whose output depends on the input, placing it in the Execute category. Misuse could involve prompt injection, abuse of the AI service, or use as a relay for generating harmful content. Severity is medium given it consumes external resources and outputs are model-dependent.
From the tool's definition "Send a message to a free AI model" — triggers an external AI model inference operation whose effects depend on the message argument
Attacks that exploit this kind of access
The rule that runs spraay_free_chat safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Spraay X402 Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For spraay_free_chat, this is the rule to start with:
spraay_free_chat stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Spraay X402 Mcp, apply this rule, and every spraay_free_chat call is checked against it from then on.
Questions about spraay_free_chat
Send a message to a free AI model from the open models catalog (Llama, Mistral, and more). Returns the model. It is categorised as a Execute tool in the Spraay X402 Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Spraay X402 MCP server in PolicyLayer and add a rule for spraay_free_chat: 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 Spraay X402 Mcp. Nothing to install.
spraay_free_chat 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 spraay_free_chat 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 spraay_free_chat. 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.
spraay_free_chat is provided by the Spraay X402 MCP server (spraay-x402-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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