# Why a New Benchmark? — Gap Analysis > V5.15.h.3 artefact — JOT submission readiness. > > One-page argumentative summary of why the public benchmarks reviewed in > `related_benchmarks_comparison.md` cannot be substituted for > mssense-eval-benchmark v1.1. ## The simultaneous-properties argument The problem of **closed-vocabulary action trace generation for conversational RPA authoring** is operationally defined by the **joint** satisfaction of four properties: 1. The output vocabulary is a **closed catalogue of typed actions tied to an executable runtime**, organised by channel (WEB_DOM, EXCEL, DESKTOP_UIA, FILE_IO, CONTROL, MAIL, API_REST, DATABASE, …). A method's output must resolve in this catalogue or fail at runtime. 2. The input is **conversational**, with possibly implicit references, multi-turn ambiguity, and the requirement to decide between generating, asking, validating, or closing the conversation (`expected_decision ∈ {INVALID, VALID, UNDERSTOOD, QUESTION, THINKING, DONE}`). 3. The expected output is a **durable multi-step action trace**, not a single tool call. Correctness propagates across step dependencies (variables produced and consumed, control-flow blocks, scoped contexts). 4. The input modality covers **text, voice transcript, screenshot, demo recording, and mixed combinations**. A public benchmark substitutes only if it satisfies all four. The audit in `related_benchmarks_comparison.md` shows that **none does**. ## The disjunction of partial substitutes Each related corpus covers a strict subset: - **WONDERBREAD** covers (4) and parts of (2) but lacks (1) (no closed RPA catalogue — its action trace is a low-level GUI event log) and lacks (3) in the typed-trace sense (its expected output is a free-form SOP). - **WorkArena / WorkArena++** cover (3) on web but neither (2) (single-task spec, no conversation) nor (4) (web-only) nor (1) (web HTML actions, not RPA platform actions). - **Mind2Web / Multimodal-Mind2Web** cover (3) on web, (4) partially with screenshots, but neither (1) nor (2). - **WebArena / OSWorld** cover live agent execution, not authoring of a persistent artefact — orthogonal to (3) as defined here. - **JSONSchemaBench / XGrammar** cover only the schema layer; the manuscript Section 1 explicitly argues that schema validity is necessary but **insufficient**. - **Toolformer / ReAct / APIBench / AgentBench** target single-step or short-sequence tool calling, not multi-step authoring of an executable trace. - **FlowMind / SmartFlow** are the closest in spirit but **release no public evaluation corpus** — both papers report on proprietary internal datasets. The disjunction of any subset of these still leaves at least one of (1)–(4) uncovered. ## The reuse-and-extend argument mssense does **not** ignore the existing corpora. The `mssense_public_creation_wonderbread_v1_full` sub-corpus reuses WONDERBREAD's intent + action trace + SOP fields after a documented transformation pipeline (internal, not distributed). The transformation maps WONDERBREAD's open-vocabulary GUI events to the closed RPA action catalogue, attaching the canonical fields (`task_family`, `channel_family`, `expected_decision`, `oracle`) that the manuscript's evaluation requires. This reuse demonstrates that we are **not rebuilding from scratch what already exists** — we are **augmenting** what exists with the missing labels and structure, and we are **adding** the internally-authored audit and validation cases that no public corpus contains. ## What a reviewer should walk away with The manuscript is not making the strong claim "no relevant public benchmark exists." It is making the precise claim **"no public benchmark simultaneously satisfies the four properties that the proposed problem formally requires."** The strong form is empirically falsifiable, the precise form is the actual contribution. A reviewer convinced that one of WONDERBREAD / WorkArena / Mind2Web is sufficient is invited to indicate which of the four properties they contest. The table in `related_benchmarks_comparison.md` provides a testable per-property verdict for each candidate. ## Reference for the in-text paragraph A drop-in paragraph for Section 2.6 of the manuscript is in `manuscript_section_2_6.md`.