Primary DeepSeek V4 chat tool for single-turn and multi-turn generation. Defaults to
Part of the DeepSeek MCP Server server.
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AI agents call chat_completion to retrieve information from DeepSeek MCP Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though chat_completion only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"chat_completion": {}
}
}See the full DeepSeek MCP Server policy for all 6 tools.
These attack patterns abuse exactly the kind of access chat_completion gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Primary DeepSeek V4 chat tool for single-turn and multi-turn generation. Defaults to. It is categorised as a Read tool in the DeepSeek MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DeepSeek MCP Server MCP server in PolicyLayer and add a rule for chat_completion: 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 DeepSeek MCP Server. Nothing to install.
chat_completion is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the chat_completion 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 chat_completion. 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.
chat_completion is provided by the DeepSeek MCP Server MCP server (deepseek-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 DeepSeek MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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