Search the F5 AI Security documentation and return ranked results.

Indexes the entire docs.aisecurity.f5.com site (system overview, getting started/installation, application & API docs, the full REST API reference, integrations, red-team campaigns, use cases, glossary, and release notes).

Use this to find relevant F5 AI Security documentation for any question about scanners, providers, projects, campaigns, the API, deployment, etc.

Args: query: Search query string (e.g. "create a custom scanner", "openai compatibility", "guardrails pii", "get scans endpoint"). k: Maximum number of results to return (default: 5).

Returns: List of dictionaries containing: - url: Document URL - title: Display title - score: Relevance score (higher is better) - snippet: Contextual content preview

Read F5 AI Security documentation pages with smart sectioning.

Modes:

1. Catalog mode (omit uri): returns all available document URLs+titles.

2. TOC mode (uri, no section): returns the page preamble plus a table of contents with section IDs, titles and summaries.

3. Section mode (uri + section): returns the full content of one section identified by its TOC ID (e.g. "3" or "3.2").

Small documents (under ~8KB) are returned in full regardless of mode.

Recommended workflow:

1. search_docs("your query") - find relevant URLs

2. fetch_doc(uri="...") - see structure, preamble and section summaries

3. fetch_doc(uri="...", section="3") - read the section you need

Args: uri: Document URL (must be under https://docs.aisecurity.f5.com/). If empty, returns a catalog of all available document URLs. section: Section ID from the TOC (e.g. "3" or "3.2"). Omit to get the table of contents.

Returns: Catalog / TOC / section payload, or an error dict on failure.