Low Risk

get_article_sections

Section outline of a Wikipedia article by title — the table-of-contents. Returns all headings + hierarchy (H2, H3, etc.) without the prose. Use when the article is long (history, science topics, biographies) and you want to navigate to a specific section vs reading the entire summary. Chain with ...

Part of the Wikipedia server.

get_article_sections 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_article_sections to retrieve information from Wikipedia 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_article_sections 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_article_sections": {}
  }
}

See the full Wikipedia policy for all 24 tools.

Get this rule live on your own Wikipedia 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_article_sections 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_article_sections 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_article_sections tool do? +

Section outline of a Wikipedia article by title — the table-of-contents. Returns all headings + hierarchy (H2, H3, etc.) without the prose. Use when the article is long (history, science topics, biographies) and you want to navigate to a specific section vs reading the entire summary. Chain with get_article_summary for the lead text. Cheap, structural-only.. It is categorised as a Read tool in the Wikipedia MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_article_sections? +

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

What risk level is get_article_sections? +

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

Can I rate-limit get_article_sections? +

Yes. Add a rate_limit block to the get_article_sections 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_article_sections completely? +

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

get_article_sections is provided by the Wikipedia MCP server (https://gateway.pipeworx.io/wikipedia/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Wikipedia tool call.

Deterministic rules across all 24 Wikipedia tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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