openreview_aggregate_weaknesses

openreview_aggregate_weaknesses

Server Openreview opencodice-research/openreview-mcp
Category Read
Risk class Low
Parameters 00 required

What openreview_aggregate_weaknesses does on Openreview

AI agents call openreview_aggregate_weaknesses to retrieve information from Openreview without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why openreview_aggregate_weaknesses needs a policy

The tool appears to retrieve and summarize weakness information from OpenReview reviews—a read operation with no side effects. While the description is empty (lowering confidence slightly), the tool name and the consistent read-only pattern across all sibling tools on this server indicate this is a data retrieval operation. No destructive, financial, or code execution capability is implied.

From the tool's definition Tool name 'openreview_aggregate_weaknesses' suggests retrieval/aggregation of review weakness data. No description provided, but context from sibling tools (all get_* and search_* operations) indicates this server is read-only for peer review analysis.

Questions about openreview_aggregate_weaknesses

What does the openreview_aggregate_weaknesses tool do? +

openreview_aggregate_weaknesses. It is categorised as a Read tool in the Openreview MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on openreview_aggregate_weaknesses? +

Register the Openreview MCP server in PolicyLayer and add a rule for openreview_aggregate_weaknesses: 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. Nothing to install.

What risk level is openreview_aggregate_weaknesses? +

openreview_aggregate_weaknesses is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit openreview_aggregate_weaknesses? +

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

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

openreview_aggregate_weaknesses is provided by the Openreview MCP server (opencodice-research/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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