enable_toolset

Enable a toolset by name to make its tools available

SERVERFinancial Modeling Prep MCP Server SOURCEfinancial-modeling-prep-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-imbenrabi-financial-modeling-prep-mcp-server/enable-toolset.md

WHAT IT DOES

What enable_toolset does on Financial Modeling Prep MCP Server

AI agents use enable_toolset to create or update resources in Financial Modeling Prep MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Financial Modeling Prep MCP Server environment.

RISK

Why enable_toolset is rated Medium

This tool modifies system state (enabling/disabling toolsets) rather than merely querying or destructively removing data. It is a reversible Write operation (can be undone by disabling), but carries medium severity because enabling toolsets could expand the attack surface by making additional financial tools available that were previously restricted.

From the tool's definition Tool name 'enable_toolset' with description 'Enable a toolset by name to make its tools available' indicates a configuration/state modification action that changes which tools are accessible.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs enable_toolset safely

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

enable_toolset Rate-limited

enable_toolset 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": {
    "enable_toolset": {
      "limits": [
        {
          "counter": "enable_toolset_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 Financial Modeling Prep MCP Server, apply this rule, and every enable_toolset call is checked against it from then on.

FAQ

Questions about enable_toolset

What does the enable_toolset tool do? +

Enable a toolset by name to make its tools available. It is categorised as a Write tool in the Financial Modeling Prep MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on enable_toolset? +

Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for enable_toolset: 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 Financial Modeling Prep MCP Server. Nothing to install.

What risk level is enable_toolset? +

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

Can I rate-limit enable_toolset? +

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

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

enable_toolset is provided by the Financial Modeling Prep MCP Server MCP server (financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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