build_toc moves from the sandbox into haiku.rag.context; the sandbox
keeps its toc.json unchanged. get_document_outline returns the heading
tree with page numbers and get_document_section one section's text,
subsections included, both resolved in the database holding the
document. Chunk ids never leave the server. ask_question drops `cite`
and always appends its citations.
Refs #599
FastMCP gets instructions, the haiku.rag-slim version and a lifespan.
Every tool carries read-only ToolAnnotations with a title, a description
that says when to use it, and a description on every parameter. The
filter description lists the document columns from DocumentMetaRecord
and how to match metadata; filter is accepted by both search tools.
One strict base64 decoder serves every image parameter.
DocumentInfo carries metadata.
Refs #599
`haiku-rag mcp` passes covers_set=True and _covering no longer refuses a
scope over several databases. search_documents, search_documents_by_image,
ask_question and analyze take `sources`; get_document takes `source`;
DocumentInfo carries `source`. format_citations gains include_source, which
ask_question sets from covers_multiple so citations name their database
only when the server covers several.
Refs #599
`resolve_document` and `find_document` selected a document through a listing,
then dropped its source and looked the id up across the set. Ids repeat between
copies of a database, so a title that matched in one could be answered by
another's document.
`get_document_by_id` and `get_chunk_by_id` join `get_picture_bytes` in taking an
optional `source`, and all three route it through `clients_covering`, so a name
the client does not cover raises `UnknownDatabaseError` rather than being
answered by the database it does cover. Without a source the reads are as they
were, answering from the first database in configured order that holds the id.
