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[GH-ISSUE #4746] [Feature] Avoid full Ghidra inventory transport for binary overview counts #2474
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opened 2026-10-17 21:05:19 +00:00 by bsakaguchi
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Originally created by @N0zoM1z0 on GitHub (Oct 17, 2026).
Original GitHub issue: https://github.com/morluto/rea/issues/4746
Before submitting
Area
Native analysis or decompilation
Current limitation
binary_overviewneeds procedure/string counts but obtains completelist_proceduresandlist_stringsinventories. Ghidra builds, serializes, transports, validates and retains those rows before the application counts them. Repeated overview calls also repeat these unscoped inventory reads. The provider already owns sorted cached inventories, so the summary could avoid transporting every row without changing discovery semantics.Source verified at
e09a503f44; affected application/Ghidra paths remain unchanged at latest mainf85a932d71. Seesrc/application/EnhancedTools.ts(#binaryOverview) andbridge/ghidra/ReaGhidraBridge.java(listProcedures,listStrings,procedures,strings).Use cases
An agent asks for the overview of a real Linux library before choosing functions or strings. A production stdio MCP run against
/usr/lib/x86_64-linux-gnu/libsqlite3.so.0(SHA2562e6eef9a727f081f0d453b4e5e6cbd8b9ef8b6f86cbf7681cbad444d3b0b55c8) returned 4,109 procedures and 2,856 defined strings. First/repeated overview took 575/256 ms; bridge logs confirmed two complete procedure reads and two complete string reads. These are individual observations, not a statistical speedup claim.Desired outcome and success criteria
Expected interaction with targets
Read existing files or captured data
Target and scope details (optional)
Existing ephemeral Ghidra analysis only: no target execution, executable modification, GUI control, persistent provider database or new mutation authority. Shared application workflow for CLI/MCP; no codemode/atomic experiment changes.
Verification available so far
I have a prototype or observed results
Verification details (optional)
Linux x86-64, Node 24.18.0, Ghidra 12.1.4, Temurin 21.0.12.1+1; one CPU and 1 GiB JVM heap, bounded process family. Production stdio MCP verified a source-built inventory fixture (31 procedures, 95 defined strings), source-known call relationships and independently mapped ELF string bytes; real SQLite verified its marker against mapped file bytes. Target digests remained unchanged. Completed fixture/SQLite tasks took 38.40/140.27 s wall, 37.01/139.11 s CPU, 1,330.9/1,400.1 MiB process-family peak memory including file cache. Import/analysis dominates the SQLite cold task (~125 s). All owned process cleanup verified; no OOM. OS caches were not controlled. These are baseline observations, not optimized measurements.
Alternatives considered
Explicitly document-scoping existing full-list reads could reuse application snapshots but still transports and retains the entire inventory on the first read. Public inventory summary/paging (#4249) addresses a related agent-delivery problem; this issue concerns hidden provider work behind the already compact
binary_overviewand can preserve its public schema.Possible direction
Use the existing operation/capability architecture to obtain a validated provider-owned overview/aggregate, with the existing shared composition as a fallback. Reuse the same inventory semantics (including external procedures and Ghidra's defined-string coverage) rather than approximate native counters. Select the narrowest implementation after inspecting the current ownership boundaries.
References
Related: #4249 (public inventory summary/paging), #1065 (bounded-resource usability/performance). Other audit candidates, not established fixes in this issue: default-document snapshot reuse, sorted exact-address lookup, bounded batch dispatch, and selected function-fact production. These need separate scopes and evidence.
@N0zoM1z0 commented on GitHub (Oct 17, 2026):
Implemented and merged in #4754 (
ae029fe2). Ghidra computes exact counts at the inventory owner, shares overview projection across CLI/MCP, and reuses a small target/profile-bound observation. Complete inventories and their coverage remain accessible.This closes the overview bottleneck. Other audit candidates listed above require separate workload and correctness decisions; this does not claim that all Ghidra optimization work is complete.