oe_ask
Create a question. Fire-and-forget by default: returns {article_id, status:
This record as markdown: /tools/htlin222-openevidence-mcp/oe-ask.md
What oe_ask does on :
AI agents use oe_ask to create or update resources in :, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your : environment.
Why oe_ask is rated Medium
The tool creates a new question/article resource on the server. 'Fire-and-forget' and returning an article_id indicates a Write operation that persists data. No indication of destructive, financial, or execution behavior. Confidence is moderate because the description is truncated and incomplete.
From the tool's definition "Create a question. Fire-and-forget by default: returns {article_id, status"
Attacks that exploit this kind of access
The rule that runs oe_ask safely
PolicyLayer is an MCP gateway: it sits between your AI agents and :, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For oe_ask, this is the rule to start with:
oe_ask stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect :, apply this rule, and every oe_ask call is checked against it from then on.
Questions about oe_ask
Create a question. Fire-and-forget by default: returns {article_id, status:. It is categorised as a Write tool in the : MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the : MCP server in PolicyLayer and add a rule for oe_ask: 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 :. Nothing to install.
oe_ask is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the oe_ask 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.
Set action: deny in the PolicyLayer policy for oe_ask. 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.
oe_ask is provided by the : MCP server (htlin222/openevidence-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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