set_reasoning_effort

Set the reasoning effort level for GPT-5.2.

Server Screenshot Analyzer MCP sasuke-inu/ui-screenshot-android-review-openai
Category Write
Risk class Medium
Parameters 00 required

What set_reasoning_effort does on Screenshot Analyzer MCP

AI agents use set_reasoning_effort to create or update resources in Screenshot Analyzer MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Screenshot Analyzer MCP environment.

Why set_reasoning_effort needs a policy

This tool modifies a reversible configuration setting (reasoning effort level) for the analysis engine. It does not retrieve data (Read), execute arbitrary code (Execute), delete anything (Destructive), or move money (Financial). The change can be undone by setting a different effort level. Confidence is high because the purpose is clearly configuration management with predictable, non-destructive effects.

From the tool's definition Tool name 'set_reasoning_effort' and description 'Set the reasoning effort level for GPT-5.2' indicate modification of a configuration setting. The verb 'set' combined with 'reasoning effort level' denotes creating or updating a configuration parameter.

Questions about set_reasoning_effort

What does the set_reasoning_effort tool do? +

Set the reasoning effort level for GPT-5.2. It is categorised as a Write tool in the Screenshot Analyzer MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_reasoning_effort? +

Register the Screenshot Analyzer MCP server in PolicyLayer and add a rule for set_reasoning_effort: 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 Screenshot Analyzer MCP. Nothing to install.

What risk level is set_reasoning_effort? +

set_reasoning_effort is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_reasoning_effort? +

Yes. Add a rate_limit block to the set_reasoning_effort 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 set_reasoning_effort completely? +

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

set_reasoning_effort is provided by the Screenshot Analyzer MCP server (sasuke-inu/ui-screenshot-android-review-openai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.