oe_collections_bulk_apply

For each {article_id, hashtags[]} entry: ensure each

SERVER: SOURCEhtlin222/openevidence-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/htlin222-openevidence-mcp/oe-collections-bulk-apply.md

WHAT IT DOES

What oe_collections_bulk_apply does on :

AI agents use oe_collections_bulk_apply 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.

RISK

Why oe_collections_bulk_apply is rated Medium

The tool performs bulk write operations that modify article collections/metadata (hashtags) across multiple articles. This is reversible (hashtags can be changed), so it falls under Write rather than Destructive. Confidence is moderate (0.6) due to truncated description that doesn't fully clarify the operation's scope and side effects.

From the tool's definition Tool name 'oe_collections_bulk_apply' and description 'For each {article_id, hashtags[]} entry: ensure each' indicates bulk modification of article metadata.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs oe_collections_bulk_apply 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_collections_bulk_apply, this is the rule to start with:

oe_collections_bulk_apply Rate-limited

oe_collections_bulk_apply 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "oe_collections_bulk_apply": {
      "limits": [
        {
          "counter": "oe_collections_bulk_apply_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect :, apply this rule, and every oe_collections_bulk_apply call is checked against it from then on.

FAQ

Questions about oe_collections_bulk_apply

What does the oe_collections_bulk_apply tool do? +

For each {article_id, hashtags[]} entry: ensure each. 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.

How do I enforce a policy on oe_collections_bulk_apply? +

Register the : MCP server in PolicyLayer and add a rule for oe_collections_bulk_apply: 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.

What risk level is oe_collections_bulk_apply? +

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

Can I rate-limit oe_collections_bulk_apply? +

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

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

oe_collections_bulk_apply 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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