Get a second opinion from a DeepSeek model
AI agents invoke get_deepseek_opinion to trigger actions in Second Opinion 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.
This tool initiates an external operation by sending a request to a third-party AI service (DeepSeek). It is not a simple read of stored data; it executes a remote inference call whose effects (cost, data transmission, response content) depend on the arguments passed. This places it in the Execute category.
From the tool's definition "Get a second opinion from a DeepSeek model" — triggers an external API call to DeepSeek's AI platform
Documented attack patterns abuse exactly the kind of access get_deepseek_opinion gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Second Opinion MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_deepseek_opinion:
{
"version": "1",
"default": "deny",
"tools": {
"get_deepseek_opinion": {
"limits": [
{
"counter": "get_deepseek_opinion_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}get_deepseek_opinion 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.
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Get a second opinion from a DeepSeek model. It is categorised as a Execute tool in the Second Opinion MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Second Opinion MCP server in PolicyLayer and add a rule for get_deepseek_opinion: 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 Second Opinion MCP. Nothing to install.
get_deepseek_opinion 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 get_deepseek_opinion 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 get_deepseek_opinion. 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.
get_deepseek_opinion is provided by the Second Opinion MCP server (procreations-official/second-opinion). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Second Opinion MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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14 Second Opinion MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.