wavexis_set_pref

Set a browser preference value.

SERVERPypi:wavexis SOURCEMathiasPaulenko/wavexis-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/wavexis-mcp/wavexis-set-pref.md

WHAT IT DOES

What wavexis_set_pref does on Pypi:wavexis

AI agents use wavexis_set_pref to create or update resources in Pypi:wavexis, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:wavexis environment.

RISK

Why wavexis_set_pref is rated Medium

This tool modifies browser state (preferences) reversibly. It is not destructive (preferences can be changed back), not financial, and not a direct code execution—it configures browser behavior. While it could affect browsing behavior or security posture if misused (e.g., disabling security warnings), the action itself is Write-category.

From the tool's definition Tool name 'wavexis_set_pref' and description 'Set a browser preference value' indicate modification of browser settings/configuration. The verb 'Set' and the operation of changing preference values are characteristic of Write operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_set_pref safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:wavexis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wavexis_set_pref, this is the rule to start with:

wavexis_set_pref Rate-limited

wavexis_set_pref 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": {
    "wavexis_set_pref": {
      "limits": [
        {
          "counter": "wavexis_set_pref_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 Pypi:wavexis, apply this rule, and every wavexis_set_pref call is checked against it from then on.

FAQ

Questions about wavexis_set_pref

What does the wavexis_set_pref tool do? +

Set a browser preference value. It is categorised as a Write tool in the Pypi:wavexis MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on wavexis_set_pref? +

Register the Pypi:wavexis MCP server in PolicyLayer and add a rule for wavexis_set_pref: 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 Pypi:wavexis. Nothing to install.

What risk level is wavexis_set_pref? +

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

Can I rate-limit wavexis_set_pref? +

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

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

wavexis_set_pref is provided by the Pypi:wavexis MCP server (MathiasPaulenko/wavexis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Pypi:wavexis, and thousands of servers like it.

This server

All 220 Pypi:wavexis tools →

Across the catalogue

emit_assumption_set on 0sec →set-prioity on Kanban MCP Server →team_manager_set_sources on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →