completion
DeepSeek V4 Pro FIM completion tool for prompt/suffix fill-in-the-middle workflows. Defaults to
This record as markdown: /tools/deepseek-mcp-server/completion.md
What completion does on DeepSeek MCP Server
AI agents invoke completion to trigger actions in DeepSeek MCP Server. 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 completion is rated High
This tool sends prompts to an external AI service (DeepSeek V4 Pro) and retrieves generated completions. It is not a simple read (it triggers external computation/inference), nor does it write/delete/move money. The closest category is Execute, as it runs an external operation whose output depends on the arguments supplied.
From the tool's definition 'FIM completion tool for prompt/suffix fill-in-the-middle workflows' — triggers an external AI model inference call via DeepSeek API
Attacks that exploit this kind of access
The rule that runs completion safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DeepSeek MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For completion, this is the rule to start with:
completion 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 DeepSeek MCP Server, apply this rule, and every completion call is checked against it from then on.
Questions about completion
DeepSeek V4 Pro FIM completion tool for prompt/suffix fill-in-the-middle workflows. Defaults to. It is categorised as a Execute tool in the DeepSeek MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the DeepSeek MCP Server MCP server in PolicyLayer and add a rule for 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.
completion 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 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 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.
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.
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