Low Risk

get_style_options

Returns the full style-options catalog for generate_visual — theme presets, fonts, arrow styles, line styles, arrowheads, scene/connector animations, layout directions, per-edge overrides, and matrix/process-flow specifics. Call this once when you need to expose specific style choices to the user...

Risk signalsHigh parameter count (37 properties)

Part of the Jeda Ai server.

get_style_options is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_style_options to retrieve information from Jeda Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_style_options only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_style_options": {}
  }
}

See the full Jeda Ai policy for all 5 tools.

Get this rule live on your own Jeda Ai server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_style_options gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_style_options only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_style_options tool do? +

Returns the full style-options catalog for generate_visual — theme presets, fonts, arrow styles, line styles, arrowheads, scene/connector animations, layout directions, per-edge overrides, and matrix/process-flow specifics. Call this once when you need to expose specific style choices to the user (e.g. "what themes are available?") or before composing a generate_visual call that needs non-default styling. Output is plain text, ~4 KB.. It is categorised as a Read tool in the Jeda Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_style_options? +

Register the Jeda Ai MCP server in PolicyLayer and add a rule for get_style_options: 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 Jeda Ai. Nothing to install.

What risk level is get_style_options? +

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

Can I rate-limit get_style_options? +

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

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

get_style_options is provided by the Jeda Ai MCP server (https://mcp.jeda.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Jeda Ai tool call.

Deterministic rules across all 5 Jeda Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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