post_comment

post_comment

Server OpenReview MCP Server michaelqshieh/openreview-mcp
Category Write
Risk class Medium
Parameters 00 required

What post_comment does on OpenReview MCP Server

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

Why post_comment needs a policy

Posting a comment creates new data in the OpenReview system. This is a write operation—it modifies the review/discussion record by adding content, but remains reversible (comments can typically be edited or deleted). It does not execute arbitrary code, delete data permanently, or move money.

From the tool's definition Tool name 'post_comment' indicates creating new content. Server description mentions 'perform write actions like submitting reviews or comments' which explicitly categorizes comment posting as a write action.

Questions about post_comment

What does the post_comment tool do? +

post_comment. It is categorised as a Write tool in the OpenReview MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on post_comment? +

Register the OpenReview MCP Server MCP server in PolicyLayer and add a rule for post_comment: 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 OpenReview MCP Server. Nothing to install.

What risk level is post_comment? +

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

Can I rate-limit post_comment? +

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

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

post_comment is provided by the OpenReview MCP Server MCP server (michaelqshieh/openreview-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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