check_proposals

check_proposals

Server Phenomenai phenomenai-org/ai-dictionary-mcp
Category Read
Risk class Low
Parameters 00 required

What check_proposals does on Phenomenai

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

Why check_proposals needs a policy

The 'check_' prefix typically indicates a query or status check operation. Given the server context (a glossary with proposals, discussions, and terms) and the absence of language indicating modification or deletion, this tool most likely reads proposal information.

From the tool's definition Tool name 'check_proposals' and sibling tools like 'propose_term', 'cite_term', and 'add_to_discussion' indicate a read-only query operation. The tool name pattern and context suggest it retrieves or lists proposal data without modification.

Questions about check_proposals

What does the check_proposals tool do? +

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

How do I enforce a policy on check_proposals? +

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

What risk level is check_proposals? +

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

Can I rate-limit check_proposals? +

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

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

check_proposals is provided by the Phenomenai MCP server (phenomenai-org/ai-dictionary-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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