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Originally created by @joneminiss on GitHub (Oct 25, 2026).
Original GitHub issue: https://github.com/morluto/rea/issues/7155
Summary
tools/listreturns 207 tools / 3,158,352 bytes. Clients that keep the catalog in every request (Claude Code, Cline, Roo, Codex, Cursor, DeepSeek Harness) then spend ~215,000 tokens every turn regardless of the prompt. On 200k-context models REA eats the entire budget before the first user message; on 128k it will not load at all.Measured on
rea-agents@6.7.0, Windows 11 x64, Node 24.22.1, Ghidra 12.1.4,rea mcpover stdio,protocolVersion: 2024-11-05.Byte composition
outputSchemainputSchemadescriptionannotationstitleThree quarters of the payload is
outputSchema.Largest tools
compare_web_capturesinspect_analysis_viewcompare_application_versionscapture_browser_scenarioreconcile_javascript_runtimeTop 10 tools = 727,403 bytes = 23.0%.
Cross-tool duplication
Hashing every
inputSchemasub-object over 800 bytes:"evidence_id"appears 542 times because the Evidence envelope is inlined everywhere instead of referenced.Suggestions, by impact per effort
1. Make
outputSchemaopt-in (-74.5%). A model cannot use an output schema before calling the tool, and most clients do not render it. Omit by default behind--full-schemas, or publish once out of band and$refit.2. Let the server filter its own list. Today a client wanting 20 tools must wrap the server:
3. Factor out the Evidence envelope (-34%). One canonical
$defs.Evidence+$defs.Location,$reffrom each tool. Standard JSON Schema. Removes over 1 MB.4. Group the
compare_*/project_*families.compare_web_capturesis 181 KB because it inlines the wholeinspect_web_pageinput shape twice. Use a singlecompare(kind, left, right), or acceptevidence_idinstead of inline Evidence. You already returnevidence_idfrom every call, so accept it back.5. Add
rea mcp --tier minimal|standard|full.minimal(~15 core tools) should land under ~50 KB.6. Add
rea mcp --print-schema-stats. You already have--token-count; let users see this before wiring it in.Workaround I used
A stdio proxy filtering
tools/listby allow-list, passingtools/callthrough. 207 -> 29 tools took the catalog from ~215k tokens to ~6.1k with no capability loss. I then found the CLI covers the same ground and dropped MCP entirely (206 commands, zero resident tools).That works, but every downstream user should not have to write it.
Reproduce
Measure
JSON.stringify(response.result.tools).length.Happy to PR any of these.
$defsfactoring (#3) and the--toolsallow-list (#2) both look self-contained. Thanks for REA: the CLI surface is excellent and the Evidence model is good design, only the wire format attools/listneeds trimming.@Navneet14-cmd commented on GitHub (Oct 25, 2026):
I’d like to take #2. Proposal: rea mcp --tools a,b,c and --tool-groups , default behavior unchanged. Unknown tool names fail at startup with a clear error, and tools/call for a filtered-out tool returns the standard unknown-tool error. Happy to adjust names or semantics before I start. I’ll leave #3 for a separate PR if you want it.
@definitelynotchirag commented on GitHub (Oct 25, 2026):
Two of these already exist, in case you missed them on 6.7.0.
REA_MCP_OUTPUT_SCHEMA_PROFILE=offin the server env drops every outputSchema from tools/list, which is your suggestion 1.REA_MCP_INPUT_SCHEMA_PROFILE=compacttrims the inputs. Both are in docs/client-configuration.md. Your suggestion 2 is close to the open PR #3026, which filters the advertised list by family.One thing to be aware of from the other direction: #7154 tags every tool with its family in
_meta, which adds about 14 KB to the list (0.3 to 0.4% depending on profile). That's the vocabulary a--tool-groupsflag could key on, so it should help here rather than hurt, but it is a few more bytes.@ashishgit4 commented on GitHub (Oct 25, 2026):
/assign
@XinwangTao commented on GitHub (Oct 25, 2026):
The 3.16 MB catalog is brutal for 128k-context models — outputSchema alone eating 74.5% makes the case for making it opt-in very strong. On top of that, the cross-tool duplication data (1 MB+ redundant,
evidence_idinlined 542 times) suggests switching to shared schema references (JSON Schema$defs/$refor equivalent) would cut payload size dramatically without losing information. Definitely a bug worth prioritizing.@morluto commented on GitHub (Oct 31, 2026):
Current native-investigation catalog capture
A fresh stdio MCP SDK
tools/listcapture on REAb43c329df779708e43ae297f498a844e45d9c923(server and contract source unchanged at checked main23de10bb2849cdce8ddbe70504aa7cc57de75a98) returned these exact serialized SDK result sizes. Estimated tokens usetiktoken0.12.0o200k_baseover the entire serialized result; they are not measured host prompt usage.session,direct,enhanced,applicationand compact outputIn the default response,
inspect_analysis_viewalone occupied 594,287 bytes including a 578,094-byte output schema;batch_decompileoccupied 21,486 bytes including 20,564 output-schema bytes. The compact output profile widens advertised schemas, while the scoped profile omits other tools; those are real contract/capability tradeoffs, not cost-free equivalent catalogs. The SDK received the complete payloads successfully here; no client line limit, autonomous tool-selection outcome, per-turn prompt cost, or analysis latency was measured. Host behavior determines which fields, if any, enter a model prompt. This refreshes the earlier capture at the newer source baseline rather than establishing a performance regression from a matched before/after workload.@XinwangTao commented on GitHub (Nov 4, 2026):
morluto 这份 capture 把问题的重心讲清楚了:scoped + compact output 组合已经能把 233 个工具压到 100 个 / ~50K tokens,但默认配置仍然是全量 1M+ tokens。结合 #5861 的「compact 存在但默认关闭」和 #7654 的「文档遗漏该选项」,核心矛盾其实是「可用配置没有成为默认路径」。#8388 的发现性设计是对的——建议同时考虑:1) setup/首次启动引导中默认勾选 compact 或按场景生成 scoped profile;2) 让默认 tools/list 至少应用 compact output schema(把 3.9MB 降到 573KB,客户端仍然拿到全部工具,只是省掉绝大多数 outputSchema)。这样对 128K 模型的可用性提升立竿见影,且不牺牲能力声明的完整性。