continue_thinking

Continue a previous thinking session with additional context or refinement. Requires a continuation ID from a previous think operation.

Server Pollinations Think MCP Server palolxx/pollinations-think-mcp
Category Execute
Risk class High
Parameters 00 required

What continue_thinking does on Pollinations Think MCP Server

AI agents invoke continue_thinking to trigger actions in Pollinations Think 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 continue_thinking needs a policy

This tool triggers an external AI reasoning operation via the Pollinations AI API (DeepSeek models), continuing a prior session. It executes an external API call that produces outputs dependent on arguments, similar to running a query or script. It is not a simple read (it triggers computation), not a write (no data stored), and not destructive or financial.

From the tool's definition 'Continue a previous thinking session with additional context or refinement. Requires a continuation ID from a previous think operation.'

Questions about continue_thinking

What does the continue_thinking tool do? +

Continue a previous thinking session with additional context or refinement. Requires a continuation ID from a previous think operation. It is categorised as a Execute tool in the Pollinations Think MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on continue_thinking? +

Register the Pollinations Think MCP Server MCP server in PolicyLayer and add a rule for continue_thinking: 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 Pollinations Think MCP Server. Nothing to install.

What risk level is continue_thinking? +

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

Can I rate-limit continue_thinking? +

Yes. Add a rate_limit block to the continue_thinking 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.

How do I block continue_thinking completely? +

Set action: deny in the PolicyLayer policy for continue_thinking. 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 continue_thinking? +

continue_thinking is provided by the Pollinations Think MCP Server MCP server (palolxx/pollinations-think-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

continue_thinking is one line of Pollinations Think MCP Server's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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