High Risk →

mathematical_proof

Prove mathematical statements via DeepSeek

Sends prompts to external DeepSeek API

Part of the Deepseek MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@arikusi/deepseek-mcp-server Execute Risk 2/5

AI agents invoke mathematical_proof to trigger processes or run actions in Deepseek. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

mathematical_proof can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-arikusi-deepseek.yaml
tools:
  mathematical_proof:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Deepseek policy for all 15 tools.

Tool Name mathematical_proof
Category Execute
MCP Server Deepseek MCP Server
Risk Level High

View all 15 tools →

Agents calling execute-class tools like mathematical_proof have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

mathematical_proof is one of the high-risk operations in Deepseek. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the mathematical_proof tool do? +

Prove mathematical statements via DeepSeek. It is categorised as a Execute tool in the Deepseek MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on mathematical_proof? +

Add a rule in your Intercept YAML policy under the tools section for mathematical_proof. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Deepseek MCP server.

What risk level is mathematical_proof? +

mathematical_proof is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit mathematical_proof? +

Yes. Add a rate_limit block to the mathematical_proof rule in your Intercept 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.

How do I block mathematical_proof completely? +

Set action: deny in the Intercept policy for mathematical_proof. 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.

What MCP server provides mathematical_proof? +

mathematical_proof is provided by the Deepseek MCP server (@arikusi/deepseek-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Deepseek

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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