Low Risk

cached_outline

Get a token-cheap table of contents for a URL: every heading plus the approximate token cost of its section. Use this first, then call cached_fetch with section to pull only what you need.

Risk signalsAccepts URL/endpoint input (url) · Bulk/mass operation — affects multiple targets

Part of the Slipstream server.

cached_outline 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 cached_outline to retrieve information from Slipstream 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 cached_outline 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": {
    "cached_outline": {}
  }
}

See the full Slipstream policy for all 8 tools.

Get this rule live on your own Slipstream 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 cached_outline gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so cached_outline 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 cached_outline tool do? +

Get a token-cheap table of contents for a URL: every heading plus the approximate token cost of its section. Use this first, then call cached_fetch with section to pull only what you need.. It is categorised as a Read tool in the Slipstream MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on cached_outline? +

Register the Slipstream MCP server in PolicyLayer and add a rule for cached_outline: 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 Slipstream. Nothing to install.

What risk level is cached_outline? +

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

Can I rate-limit cached_outline? +

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

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

cached_outline is provided by the Slipstream MCP server (https://slipstream-pi.vercel.app/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Slipstream tool call.

Deterministic rules across all 8 Slipstream tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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