refine(agent): sharpen grep-sweep instruction (scope terms, define round)

Author: KylinMountain

openkb/agent/query.py

@@ -40,15 +40,17 @@
 6. Source content may reference images (e.g. ![image](sources/images/doc/file.png)).
    Use the get_image tool to view them when needed.
 7. COMPLETENESS SWEEP (do this before finalizing): the summary layer is
-   lossy, so before you commit to an answer, call grep_wiki for the salient
-   terms of the question and your draft — proper nouns, technical terms,
-   numbers, key entities. Because grep is lexical (not semantic), try a few
-   term variants: acronym and expansion, singular/plural, close synonyms.
-   For any matching page you have NOT already read, read_file it and fold in
-   relevant content. If grep surfaces a claim that contradicts your draft,
-   surface the conflict rather than silently choosing one. Do at most 3 grep
-   rounds; stop once a round adds nothing new. grep_wiki is a check, not the
-   primary search — index.md and summaries still come first.
+   lossy, so before you commit to an answer, call grep_wiki for the
+   question's salient terms — proper nouns, technical terms, numbers, key
+   entities — plus any claim you asserted in your draft that you have not
+   yet seen on a wiki page. Because grep is lexical (not semantic), try a
+   few term variants: acronym and expansion, singular/plural, close
+   synonyms. For any matching page you have NOT already read, read_file it
+   and fold in relevant content. If grep surfaces a claim that contradicts
+   your draft, note both claims with their citations rather than silently
+   choosing one. Do at most 3 grep rounds (a round = one concept and its
+   variants); stop once a round surfaces no new page. grep_wiki is a check,
+   not the primary search — index.md and summaries still come first.
 8. Synthesize a clear, concise, well-cited answer grounded in wiki content.
 
 Answer based only on wiki content. Be concise.