106 deterministic medical research engines: ROC/AUC, survival, Table 1, DEG, pathway enrichment, primer design, literature search. Every response carries engine_status — auditable, not LLM guessing.
Scored across 150 tools
Many tools have nearly indistinguishable boundaries: pico_refine vs pico_structure, study_design_advisor vs design_type_decision, pre_submission_review vs paper_six_agent_review vs deep_peer_review, kaplan_meier vs survival_cox vs animal_survival_km, toxicity_predict vs toxicology_assess, and differential_expression vs rnaseq_deg all target the same intent. The catch-all stats_toolbox (97 tests) additionally overlaps dozens of dedicated statistical tools, so an agent must guess which of several plausible entries to call. Descriptions are detailed but do not resolve these collisions.
Names are uniformly snake_case, which helps, but the construction is mixed: verb-first (compare_manuscript_versions, deidentify_phi, gene_info_lookup) alongside noun-first (acceptance_probability, animal_sample_size, kaplan_meier, nomogram, forest_plot), plus two sanyu_-prefixed meta tools. It remains readable, but there is no single predictable verb_noun pattern to infer new tool names from.
150 tools is far beyond what an agent can reliably select from, and the surface is a stitched-together collection of many separate domains (literature, statistics, omics, wet lab, writing, grants, clinical calculators). Numerous near-duplicate entries suggest the count grew by accretion rather than design.
For a medical-research engine the coverage is genuinely broad: literature search/verification, PICO and design, sample size and statistics, omics pipelines, wet-lab calculations, writing/revision, and reporting checklists are all present. Gaps are minor and mostly cross-tool glue (e.g., data-file management beyond listing, export/formatting between stages) rather than missing core operations.
Academic language polishing / 中英文润色 | USE WHEN: the user wants a paragraph polished: academic English, remove Chinglish, tighten wording | ALIASES: 润色, 改英语, 中式表达, 语言润色, polish, proofread, 学术英语 | RETURNS: 润色后文本
Inputs: content (required), lang, level.
Acceptance probability / 录用概率预测 | USE WHEN: the user asks the chance of acceptance at a specific journal | ALIASES: 中稿概率, 录用概率, 能中吗, acceptance, predict success, 投中的机会 | RETURNS: 中稿概率与依据
Inputs: paper (required), journal_id (required).
CRF 编码建议 用户问 CRF 字段该怎么编码、要不要用 CDASH MedDRA/WHO-DD 字段归类建议（哪些字段属 AE/CM、该用哪本字典、编到哪一层；不含术语级编码）
Inputs: fields.
Animal dose & injection volume / 动物给药量计算 | USE WHEN: compute the dose (mg) and injection volume (mL) for an animal from body weight and mg/kg | ALIASES: 动物给药量, 给药体积, 按体重给药, dose volume, mg/kg, 注射体积, 灌胃体积 | RETURNS: 给药量与体积
Inputs: dose_mg_per_kg (required), animal_weight_g (required).
Animal randomization / 动物随机分组 | USE WHEN: randomly assign animals to groups as required by ARRIVE | ALIASES: 动物随机分组, animal randomization, 分组表, 动物分组 | RETURNS: 分组表
Inputs: n_total (required), seed, groups, method.
Animal sample size (3R) / 动物实验样本量 | USE WHEN: how many animals per group are needed (power-based, ARRIVE/3R wording) | ALIASES: 动物样本量, 动物要多少只, 每组几只, animal sample size, 3R, power animals | RETURNS: 每组动物数
Inputs: effect_size (required), alpha, power, groups.
Animal survival analysis / 动物生存分析 | USE WHEN: Kaplan-Meier and log-rank on animal death/survival times | ALIASES: 动物生存分析, 生存曲线, log-rank, animal survival, KM, 死亡时间 | RETURNS: KM 曲线与 log-rank
Inputs: ctrl_times (required), ctrl_events (required), treat_times (required), treat_events (required).
ARRIVE 2.0 checklist / ARRIVE 2.0 检查 | USE WHEN: check an animal experiment against the ARRIVE 2.0 reporting guideline | ALIASES: ARRIVE, 动物实验规范, 动物伦理报告, animal reporting, ARRIVE 2.0 | RETURNS: ARRIVE 条目核对
Inputs: E1 (required), E2, E3, E4, +6 more.
ATAC-seq differential accessibility / ATAC 差异可及性 | USE WHEN: differential open regions from ATAC-seq counts | ALIASES: ATAC, 差异可及性, 染色质开放, differential accessibility, peak差异 | RETURNS: 差异 peak
Inputs: data_json (required).
Bioequivalence (BE) / 生物等效性评价 | USE WHEN: compare test vs reference AUC/Cmax and judge 80-125% bioequivalence with 90% CI | ALIASES: 生物等效性, BE, AUC Cmax, 90%CI, 等效性判定, bioequivalence | RETURNS: 90%CI 与等效性判定
Inputs: test_auc_list (required), reference_auc_list (required).
Calibration curve (prediction model) / 校准曲线 | USE WHEN: assess calibration of a risk model and get the curve plus Brier score | ALIASES: 校准曲线, 校准度, Brier, calibration, 预测模型校准, 可靠性曲线 | RETURNS: 校准曲线与 Brier 分数
Inputs: labels (required), scores (required), n_bins.
Cell assay calculator / 细胞实验通用计算 | USE WHEN: CCK8 / wound healing / Transwell / colony formation calculations (pick tool_id: cck8, wound-healing, transwell, colony) | ALIASES: CCK8, 划痕实验, Transwell, 克隆形成, 细胞增殖, 迁移实验, cell viability, wound healing | RETURNS: 计算结果
Inputs: tool_id (required), params.
ChIP-seq peak calling / ChIP-seq Peak calling | USE WHEN: call peaks from ChIP-seq reads | ALIASES: ChIP-seq, peak calling, 峰识别, 转录因子结合, ChIP | RETURNS: peak 清单
Inputs: data_json (required).
Citation formatting / 引文格式化 | USE WHEN: reformat references to Vancouver / APA / GB-T 7714 | ALIASES: 参考文献格式, 引文格式, Vancouver, APA, GB/T 7714, citation, 文献格式 | RETURNS: 格式化后的引文
Inputs: references (required), style.
Verify citation authenticity / 引文真实性核验 | USE WHEN: check whether references are fabricated (existence check against the local corpus) | ALIASES: 核验参考文献, 引用是真的吗, 假文献, citation verify, 参考文献真实性, hallucinated reference | RETURNS: 逐条核验结果
Inputs: text (required), topic.
Classification metrics / 分类性能报告 | USE WHEN: full diagnostic performance set: accuracy, sensitivity, specificity, PPV, NPV, F1 | ALIASES: 分类性能, 准确率, 敏感度, 特异度, PPV, NPV, confusion matrix, 诊断指标 | RETURNS: 分类指标全套
Inputs: labels (required), predictions (required), threshold.
Molecular cloning design / 克隆方案设计 | USE WHEN: design a plasmid construct: homology arms, primers, assembly strategy | ALIASES: 分子克隆, 构建质粒, 同源臂, cloning, Gibson, 酶切连接, 引物设计克隆 | RETURNS: 克隆方案与引物
Inputs: insert_seq (required), vector_seq (required), method.
Compare two manuscript versions / 改稿前后对比 | USE WHEN: the user wants to know what changed between a before and after revision of the same passage | ALIASES: 改稿对比, 修改前后, 两版差异, compare revisions, diff, 版本对比 | RETURNS: 逐段差异与改进评估
Inputs: after_text (required), before_text (required).
CONSORT flow diagram / CONSORT 流程图 | USE WHEN: draw a CONSORT participant flow diagram from screening/randomization/loss counts | ALIASES: CONSORT流程图, 流程图, 入组流程, flow diagram, 筛选失访 | RETURNS: CONSORT 流程图
Inputs: screened (required), randomized (required), title, allocated_control, +4 more.
Cover letter / 投稿信 Cover Letter | USE WHEN: the user wants a cover letter to the journal editor | ALIASES: 投稿信, cover letter, 给编辑的信, 投稿说明 | RETURNS: 投稿信正文
Inputs: title (required), target_journal (required), abstract, highlights.
CRF / SDTM validation / CRF 数据校验（SDTM） | USE WHEN: check whether CRF data meets CDISC SDTM conventions before export | ALIASES: CRF校验, SDTM, CDISC, 数据合规, 导出前检查, CRF validate, data standards | RETURNS: 校验结果
Inputs: fields (required).
Parse pasted data / infer column types / 数据解析与列类型识别 | USE WHEN: the user pasted a CSV/table blob: get shape, column types, missingness before analysis | ALIASES: 解析数据, 列类型, 粘贴表格, CSV解析, parse data, column types, 数据形状 | RETURNS: 行列数、列类型、缺失情况
Inputs: csv_data (required).
List data columns / 读取数据列名 | USE WHEN: list the variables in an uploaded data file (do this before Table 1 / modeling so you use real column names) | ALIASES: 列名, 有哪些变量, 字段名, columns, variables, 变量清单, 表头 | RETURNS: 列名与类型
Inputs: file_id (required).
Dataset profile / 数据快速画像 | USE WHEN: first look at a data file: distributions, missingness, outliers, data quality overview | ALIASES: 数据长什么样, 描述统计, 缺失情况, 数据质量, data profile, descriptive, summary stats, EDA | RETURNS: 描述统计与质量概览
Inputs: file_id (required), study_design.
Multi-option decision arbitration / 决策引擎裁决 | USE WHEN: the user must choose between several options or pipelines and wants a quantified ruling | ALIASES: 裁决, 取舍, 决策引擎, 多方案比较, arbitration, which option is better | RETURNS: 裁决结果与理由
Inputs: options, criteria.
Deep peer review (six dimensions) / 深度审稿（六维） | USE WHEN: the user wants reviewer-grade deep comments, as if reviewed by a strict peer reviewer | ALIASES: 深度审稿, 模拟审稿人, 严格审稿, deep review, reviewer comments | RETURNS: 深度审稿报告
Inputs: title (required), methods, results, abstract.
De-identify text (HIPAA 18 + China national ID) / 数据脱敏 | USE WHEN: the user needs patient text de-identified before sharing: names, dates, phone, ID number, MRN | ALIASES: 脱敏, 去标识, 隐私, HIPAA, PHI, 匿名化, deidentify, anonymize | RETURNS: 脱敏后文本
Inputs: text (required), sensitive, quasi_identifiers.
DeLong test (compare two AUCs) / 两条 ROC 的 AUC 比较（DeLong） | USE WHEN: compare two ROC AUCs from the same subjects and test whether the difference is significant | ALIASES: DeLong, 两个AUC比较, 哪个指标更好, AUC差异, compare AUC, 曲线下面积比较 | RETURNS: 两 AUC 及差值 P 值
Inputs: labels (required), scores1 (required), scores2 (required).
Design gate rules / 方案设计闸门规则 | USE WHEN: explain why a design step is blocked, or what the platform requires for each step (hard gates G1/G2/G3) | ALIASES: 方案设计闸门, 为什么不让过, 硬性要求, gate rules, validation rules, why blocked | RETURNS: 每步是否有硬闸门、三道跨步闸门 G1/G2/G3 的原文规则
Inputs: no named parameters.
Full research protocol generation / 完整研究方案 / 方案设计工具 | USE WHEN: the user wants a complete research protocol including sample size, statistical plan and ethics points | ALIASES: 研究方案, 方案正文, 写方案, 方案生成, protocol, full protocol | RETURNS: 完整研究方案 JSON（14 段）或单项工具结构化结果；缺参时返回 needs_user_input 明确列出缺什么，不返回编造值
Inputs: tool_name (required), p1, p2, alpha, +19 more.
Design step context / 取某一步的上下文 | USE WHEN: load what the user already answered for a design step (PICO / design type / population) before drafting the next step | ALIASES: 方案设计上下文, 上一步内容, 已经填过的信息, design context, previous step, project context | RETURNS: 该步骤可用的前序上下文（pico / design_type / population / topic）
Inputs: step (required), project_id (required).
Study design decision / 研究设计决策推荐 | USE WHEN: the user asks which study design to use (RCT vs cohort etc.) and why; rule-based decision tree with a scoring matrix, not LLM guessing | ALIASES: 用什么设计, RCT还是队列, 设计决策, 选哪个设计, design decision, which design type | RETURNS: 推荐设计类型、框架、推荐依据、分配比例
Inputs: pico (required), feasibility.
Differential expression (limma-style) / 差异表达分析 | USE WHEN: differential genes from an expression matrix (with volcano plot input) | ALIASES: 差异表达, 差异基因, DEG, differential expression, 火山图, 表达矩阵, limma | RETURNS: 差异基因清单（log2FC、t 统计量、p_value、BH-FDR 校正后的 padj、显著/上调/下调标记）
Inputs: group_a (required), group_b (required), gene_names, log2fc_threshold.
Distribution goodness-of-fit / 分布拟合检验 | USE WHEN: the user asks whether the data are normally distributed or which distribution fits (normality / goodness-of-fit test) | ALIASES: 分布拟合, 正态性检验, 是不是正态, 服从什么分布, KS检验, Shapiro, distribution fit, goodness of fit, normality test | RETURNS: 拟合优度
Inputs: data (required), dist.
DNA → protein translation / 序列翻译 | USE WHEN: translate a nucleotide sequence into amino acids in all three frames | ALIASES: 序列翻译, 核酸转蛋白, 翻译, translate, DNA to protein, 氨基酸序列, ORF翻译 | RETURNS: 氨基酸序列
Inputs: sequence (required).
Drug-drug interaction check / 药物相互作用检查 | USE WHEN: can these two drugs be used together? interaction severity and mechanism | ALIASES: 药物相互作用, 能不能一起用, 配伍禁忌, DDI, drug interaction, 相互作用 | RETURNS: 相互作用等级与机制
Inputs: drug_a (required), drug_b (required).
Dunn post-hoc test / 多组非参数两两比较（Dunn） | USE WHEN: pairwise comparisons after Kruskal-Wallis (nonparametric, multiple groups) | ALIASES: Dunn, 非参数两两比较, Kruskal-Wallis后续, post hoc, 多重比较 | RETURNS: 两两比较 P 值
Inputs: groups (required).
Egger's test (publication bias) / Meta 发表偏倚（Egger） | USE WHEN: test publication bias in a meta-analysis and get funnel-plot inputs | ALIASES: Egger, 发表偏倚, 漏斗图, publication bias, meta回归, funnel plot | RETURNS: Egger 检验 P 与截距
Inputs: log_or (required), se_log_or (required).
Evidence follow-up Q&A / 证据追问（多轮） | USE WHEN: multi-turn follow-up on an evidence card (causal judgement) | ALIASES: 证据追问, 继续追问, 证据卡, evidence followup, 因果判断 | RETURNS: 追问答复
Inputs: title (required), question (required), round, abstract.
Structured evidence intake / 文献证据分级录入 | USE WHEN: decompose a paper into a structured evidence card by evidence level (Decision OS) | ALIASES: 证据分级, 证据卡, 文献拆解, evidence level, GRADE, 证据录入 | RETURNS: 结构化证据卡
Inputs: title (required), doi, abstract, literature_type.
Evidence report narrative / 证据报告叙述 | USE WHEN: turn evidence cards into a readable report | ALIASES: 证据报告, 证据综述, evidence report, 证据叙述 | RETURNS: 证据报告正文
Inputs: result (required), lang.
Bench experiment plan / 实验方案生成 | USE WHEN: the user needs an animal or cell experiment plan (basic research) | ALIASES: 实验方案, 动物实验, 细胞实验, 基础实验设计, experiment plan, bench work plan | RETURNS: 实验方案
Inputs: research_question (required), field, time_months, uses_humans, +6 more.
Liver fibrosis staging / 纤维化分期 | USE WHEN: map fibrosis scores to Ishak / METAVIR stage | ALIASES: 纤维化分期, Ishak, METAVIR, 肝纤维化, fibrosis stage, 病理分期 | RETURNS: 分期结论与解读
Inputs: stage (required), method.
Figure legend writer / 图注生成 | USE WHEN: write a figure legend for a given chart type | ALIASES: 图注, Figure legend, 图片说明, 图例, 写图注 | RETURNS: 图注文本
Inputs: chart_type (required), context.
Flow cytometry clustering / 流式细胞聚类 | USE WHEN: unsupervised clustering of flow cytometry data into cell populations | ALIASES: 流式聚类, 无监督分群, flow clustering, 细胞群, FlowSOM | RETURNS: 细胞群与比例
Inputs: events (required), grid_size, n_clusters.
Flow cytometry gating / 流式门控分析 | USE WHEN: gating / population percentages from flow cytometry data | ALIASES: 流式门控, 圈门, gating, 阳性比例, flow cytometry | RETURNS: 门控比例
Inputs: events (required), method, params.
Forest plot / 森林图 | USE WHEN: forest plot from HR/OR/RR with confidence intervals | ALIASES: 森林图, forest plot, HR OR RR, 置信区间图, meta森林图 | RETURNS: 森林图（矢量）
Inputs: data (required), title, x_label.
Gene information lookup / 基因信息检索 | USE WHEN: what a gene does: full name, aliases, function, location | ALIASES: 基因信息, 这个基因是干什么的, gene function, 别名, gene info, 基因全称 | RETURNS: 基因信息
Inputs: query (required).
Gene → pathway → disease network / 基因-通路-疾病网络 | USE WHEN: from a gene list, find pathway / disease / drug associations and build a mechanism network | ALIASES: 基因通路, 机制网络, gene pathway, 疾病关联, 药物靶点, network, 通路疾病 | RETURNS: 通路/疾病/药物关联
Inputs: genes (required).
GEO dataset pipeline / GEO 数据全流程 | USE WHEN: end-to-end on a GEO accession: DEG → enrichment → immune infiltration | ALIASES: GEO, GSE, 数据集分析, GEO编号, geo dataset, public data reanalysis | RETURNS: 差异基因、富集结果
Inputs: geo_id (required), species, pval_cutoff, logfc_cutoff.
Gleason grade group / Gleason 分级分组 | USE WHEN: Gleason score → Grade Group and risk stratum (prostate cancer) | ALIASES: Gleason, 前列腺癌分级, Grade Group, 格里森评分, 前列腺病理 | RETURNS: Grade Group 与风险分层
Inputs: primary_grade (required), secondary_grade (required).
GO / KEGG enrichment / 通路富集（GO/KEGG） | USE WHEN: pathway enrichment for a gene list (GO biological process, KEGG) | ALIASES: 富集分析, GO, KEGG, 通路富集, enrichment, 通路, 功能注释 | RETURNS: 富集通路与 P 值
Inputs: gene_list (required), db_filter, project_id.
IC50 curve fitting / IC50 曲线拟合 | USE WHEN: fit a dose-response curve and report IC50 with 95% CI | ALIASES: IC50, 半数抑制浓度, 剂量效应曲线, dose response, 抑制率拟合, GI50 | RETURNS: IC50 值与 95%CI
Inputs: responses (required), concentrations (required), model, direction.
Idea ignition / 想法点燃 | USE WHEN: the user gives one vague word or a hunch and wants it expanded into researchable directions | ALIASES: 想法, 一个词, 不知道研究啥, 灵感, 发散一下, idea, hunch, expand this idea | RETURNS: 扩展研究方向
Inputs: topic (required), max_papers, include_sections.
IHC scoring (H-score / Allred) / IHC 免疫组化评分 | USE WHEN: immunohistochemistry scoring from staining intensity percentages (H-score, Allred, positive rate) | ALIASES: 免疫组化评分, H-score, Allred, IHC, 阳性率, 染色评分, ER PR HER2 | RETURNS: H-score / Allred / 阳性率
Inputs: stain_type (required), intensity_0_pct, intensity_1_pct, intensity_2_pct, +1 more.
IPTW inverse probability weighting / IPTW 逆概率加权 | USE WHEN: propensity-score weighting (ATE/ATT) for observational comparisons | ALIASES: IPTW, 逆概率加权, 倾向评分加权, propensity weighting, 加权后效应, ATE | RETURNS: 权重与加权后效应
Inputs: treatment (required), propensity_scores (required).
Journal recommendation / 智能选刊 V3 | USE WHEN: recommend target journals from title/abstract, in reach / match / safe tiers | ALIASES: 选刊, 投哪个期刊, 期刊推荐, journal, submission target, 冲稳保, 投稿建议 | RETURNS: 候选期刊与三档策略
Inputs: title (required), design, abstract, keywords, +2 more.
Kaplan-Meier curve / Kaplan-Meier 曲线 | USE WHEN: KM curve and median survival only (no multivariable model) | ALIASES: KM曲线, Kaplan-Meier, 中位生存, 生存曲线, 生存率, log-rank | RETURNS: KM 曲线与中位生存
Inputs: times (required), events (required), groups.
Linear mixed model (repeated measures) / 线性混合模型（纵向/重复测量，公式模式） | USE WHEN: same subject measured repeatedly (pre/post, multiple follow-ups): compare trajectories over time, group×time interaction; modern replacement for repeated-measures ANOVA (handles missing, no sphericity assumption) | ALIASES: 混合模型, 重复测量, 纵向数据, LMM, mixed model, 交互作用, 多次随访, 每人测多次, repeated measures | RETURNS: 固定效应系数/SE/Wald z/P/95%CI（按真实变量名，不是 X1/X2）、各项整体检验 omnibus、交互项检验、primary_test、ICC、方差成分、n_subjects/n_obs、组间例数、缺失与收敛告警
Inputs: data (required), formula (required), subject (required), reml, +4 more.
List the caller's uploaded data files / 列出我的数据文件 | USE WHEN: the user asks what data files they have uploaded / available in the workspace | ALIASES: 我的数据, 已上传文件, 数据文件列表, my data, list files | RETURNS: 数据文件列表（含 file_id/文件名/行数）
Inputs: project_id.
Compare with published literature / 与已有文献对比 | USE WHEN: the user wants to know how their findings differ from what is already published | ALIASES: 和文献比, 新在哪, 对比已有研究, literature compare, how is this different | RETURNS: 对比结论
Inputs: title (required), main_findings.
Literature digest card / 文献摘要卡生成 | USE WHEN: the user gives a paper and wants a structured digest card out of it | ALIASES: 摘要卡, 文献卡片, 精读卡, digest, literature card | RETURNS: 摘要卡
Inputs: title (required), year, source, journal, +2 more.
Review outline from reading list / 文献综述提纲 | USE WHEN: the user wants a review outline built from the papers already digested | ALIASES: 综述提纲, review outline, 按精读文献出提纲 | RETURNS: 综述提纲
Inputs: topic (required).
Literature search (1.53M PMC full texts) / 文献检索（站内 153 万篇 PMC） | USE WHEN: search the in-house PMC corpus for literature / evidence / state of the art | ALIASES: 找文献, 文献检索, 检索文献, literature search, PMC, 证据, 研究现状, PubMed替代 | RETURNS: 文献列表（含 PMCID）
Inputs: q (required), limit.
Local literature comparison / 本地文献对比 | USE WHEN: the user gives a topic and wants a cross-comparison table of the in-house literature | ALIASES: 本地文献对比, 横向对比, 文献对比表, local literature compare | RETURNS: 对比表
Inputs: topic (required), keywords.
Mermaid diagram generation / 生成流程图（Mermaid） | USE WHEN: the user wants a flow chart, sequence diagram or mind map expressed as Mermaid code | ALIASES: 流程图, Mermaid, 时序图, 思维导图, 画流程, diagram, flowchart | RETURNS: Mermaid 代码
Inputs: prompt (required), diagram_type.
Metabolite heatmap / 代谢组热图 | USE WHEN: clustered heatmap of metabolites | ALIASES: 代谢热图, 聚类热图, heatmap, metabolite heatmap | RETURNS: 聚类热图
Inputs: data_json (required).
Metabolite pathway enrichment / 代谢物通路富集 | USE WHEN: pathway enrichment for differential metabolites | ALIASES: 代谢物通路, 代谢富集, metabolite pathway, KEGG代谢, 差异代谢物 | RETURNS: 代谢通路富集
Inputs: metabolites (required), fdr_threshold.
Metabolite PCA / 代谢组 PCA | USE WHEN: sample separation / outliers in metabolomics (unsupervised) | ALIASES: 代谢组PCA, PCA, 样本分组趋势, 离群, unsupervised, 得分图 | RETURNS: PCA 得分与解释度
Inputs: data_json (required), groups.
Metabolite PLS-DA / 代谢组 PLS-DA | USE WHEN: supervised discrimination and VIP for differential metabolites | ALIASES: PLS-DA, 有监督判别, VIP, 代谢组判别, 判别分析 | RETURNS: PLS-DA 模型与 VIP
Inputs: data_json (required), groups.
Metabolite volcano plot / 代谢组火山图 | USE WHEN: volcano plot of differential metabolites | ALIASES: 代谢火山图, volcano, 差异代谢物火山图 | RETURNS: 火山图
Inputs: data_json (required).
Multiplex IF phenotyping / 多重免疫荧光表型 | USE WHEN: assign cell phenotypes and proportions from multiplex immunofluorescence markers | ALIASES: 多重免疫荧光, mIF, 细胞表型, phenotype, marker组合, 亚群比例 | RETURNS: 细胞亚群表型与比例
Inputs: cd3_pos (required), cd8_pos, foxp3_pos, pd_l1_pos.
Multi-omics integration / 多组学整合 | USE WHEN: integrate mRNA / protein / metabolite layers and find cross-layer associations | ALIASES: 多组学, 整合分析, multi-omics, 转录组蛋白组代谢组, cross-omics | RETURNS: 多组学关联结果
Inputs: mrna, protein, metabolite, pathway_map.
Nomogram / 列线图 Nomogram | USE WHEN: turn a logistic or Cox model into a nomogram figure for clinical use | ALIASES: 列线图, Nomogram, 评分图, nomogram, 风险评分图 | RETURNS: 列线图 SVG
Inputs: csv_data (required).
NSFC grant fit analysis / 国自然申报分析 | USE WHEN: the user asks whether a topic fits NSFC / provincial funding, which category, and the odds | ALIASES: 国自然, NSFC, 基金申报, 省自然, 命中率, 报什么口子, grant fit | RETURNS: 国自然分析
Inputs: disease (required).
Nuclei segmentation & counting / 细胞核分割与计数 | USE WHEN: cell density / positive rate from a tissue section (nuclei segmentation) | ALIASES: 细胞核分割, 细胞计数, 密度, nuclei count, segmentation, 阳性细胞率 | RETURNS: 分割统计结果
Inputs: image_base64 (required), stain_type, cell_density, positive_rate.
Multi-omics methods section draft / 多组学论文段落 | USE WHEN: the user wants a methods section for a multi-omics paper, assembled only from the analyses they actually ran | ALIASES: 多组学方法, 方法学段落, RNA-seq 方法, methods section, omics methods | RETURNS: 论文段落
Inputs: no named parameters.
ORF prediction / ORF 预测 | USE WHEN: find open reading frames in a nucleotide sequence | ALIASES: ORF, 开放阅读框, 找编码区, open reading frame, 翻译起始 | RETURNS: ORF 列表与位置
Inputs: sequence (required).
Organ coefficient / 脏器系数 | USE WHEN: organ weight / body weight ratio (脏器系数) | ALIASES: 脏器系数, 器官系数, organ coefficient, organ index, 脏器重量比 | RETURNS: 脏器系数
Inputs: body_weights (required), organ_weights (required), label.
Manuscript outline / 生成论文提纲 | USE WHEN: the user wants the outline / chapter structure before the full text is written | ALIASES: 提纲, 目录, 章节结构, 论文框架, outline, chapter structure | RETURNS: 章节提纲
Inputs: title (required), project_id, design_type.
Six-agent manuscript review / 论文预审（六智能体） | USE WHEN: the user wants a pre-submission review to find the reasons a paper would be rejected | ALIASES: 预审, 六智能体, 审稿意见, 投稿前审, manuscript review, six agent review | RETURNS: 审稿意见与评分
Inputs: title (required), methods, results, abstract.
PCR primer design / PCR 引物设计 | USE WHEN: design PCR primer pairs from a DNA sequence or gene (Tm, GC, product size) | ALIASES: 引物设计, PCR引物, primer, 设计引物, 扩增引物, primer pair | RETURNS: 候选引物对与 Tm/GC
Inputs: sequence (required), gene.
PICO from pasted text / 从文本抽取 PICO | USE WHEN: the user pastes an abstract or paragraph and wants PICO extracted from it | ALIASES: 抽取PICO, 从摘要提PICO, 文献PICO, extract pico from text | RETURNS: 结构化 PICO
Inputs: text (required).
Permutation test / 置换检验 | USE WHEN: exact/permutation test when t-test assumptions fail or n is tiny | ALIASES: 置换检验, 随机化检验, permutation, 精确检验, 小样本非参数, resampling | RETURNS: 置换 P 值
Inputs: group1 (required), group2 (required), n_perm.
PICO refinement / PICO 精炼 | USE WHEN: turn a vague clinical question into a structured PICO (Population / Intervention / Comparator / Outcome) | ALIASES: PICO, 把问题拆开, 研究问题怎么提, refine question, 结构化问题, PICO拆解 | RETURNS: 结构化 PICO
Inputs: pico (required).
PICO structuring (design flow) / PICO 结构化精炼 | USE WHEN: the user says refine my PICO / turn this sentence into PICO / how to split PICO; only structures what the user said and reports missing elements instead of inventing them | ALIASES: 精修PICO, PICO拆解, 做成PICO, 结构化PICO, pico refine, structure pico | RETURNS: PICO 四要素结构化结果 + 提示缺哪些要素
Inputs: pico (required).
Non-compartmental PK (NCA) / NCA 非房室药代分析 | USE WHEN: non-compartmental analysis of concentration-time data: AUC, Cmax, Tmax, t1/2, CL, Vd | ALIASES: NCA, 非房室分析, 药代参数, AUC Cmax T1/2, PK parameters, 血药浓度 | RETURNS: AUC/Cmax/Tmax/T1/2/CL/Vd
Inputs: time_points (required), concentrations (required), dose, dose_unit.
PK/PD assessment / PK/PD 评估 | USE WHEN: pharmacokinetic/pharmacodynamic assessment and dose projection | ALIASES: PK/PD评估, 药代药效, 剂量推算, pkpd assess, 暴露量 | RETURNS: PK/PD 评估结果
Inputs: drug_name (required), pk_params.
PK/PD simulation / PK/PD 模拟 | USE WHEN: simulate concentration-effect time course for a dosing regimen | ALIASES: PK/PD模拟, 给药方案模拟, 浓度时间曲线, simulation, 剂量方案 | RETURNS: 模拟曲线与参数
Inputs: drug_name (required), pd_params, pk_params.
Plasmid map / 质粒图谱 | USE WHEN: draw/describe a plasmid map from a sequence (features, orientation) | ALIASES: 质粒图谱, 载体结构, plasmid map, vector, 质粒构建图 | RETURNS: 质粒图谱
Inputs: sequence (required).
Protein-protein interaction network / 蛋白互作网络 | USE WHEN: PPI network from a protein list, hub identification (STRING) | ALIASES: 蛋白互作, PPI, STRING, hub基因, 互作网络, network | RETURNS: 互作网络与 hub 蛋白
Inputs: protein_list (required), species, confidence_threshold.
Pre-submission review / 投稿前预审 | USE WHEN: the user wants a pre-submission check to find likely rejection points | ALIASES: 投稿前预审, 会被拒吗, 投稿检查, pre review, desk reject risk | RETURNS: 预审意见
Inputs: title (required), design, abstract, sample_size.
Primer Tm & dimers / 引物 Tm 计算 | USE WHEN: Tm, GC% and self/cross dimer check for given primer sequences | ALIASES: Tm, 引物Tm, 退火温度, GC含量, 二聚体, primer dimer, melting temperature | RETURNS: Tm、GC、二聚体
Inputs: sequence (required).
PRISMA flow diagram / PRISMA 流程图 | USE WHEN: PRISMA literature screening flow for systematic reviews / meta-analyses | ALIASES: PRISMA, 文献筛选流程, 系统评价流程图, flow diagram, 检索流程图 | RETURNS: PRISMA 流程图
Inputs: records_identified (required), title, records_screened, studies_included.
Propensity score matching (PSM) / 倾向性评分匹配 PSM | USE WHEN: match treated and control subjects on baseline covariates (1:1 nearest neighbour within caliper), then report SMD balance | ALIASES: PSM, 倾向性评分, 倾向评分匹配, propensity score, 1:1匹配, 基线可比, 混杂控制, 匹配后均衡 | RETURNS: 匹配后样本与均衡性
Inputs: treatment (required), covariates (required), data, ratio.
Proposal / grant review / 标书评审 | USE WHEN: the user pastes a proposal or protocol and wants scoring, weaknesses and revision advice | ALIASES: 标书评审, 方案打分, 本子, 评审意见, proposal review, grant review, 专家怎么挑毛病 | RETURNS: 五维评分与修改建议
Inputs: proposal_text (required).
In-silico protein digestion / 蛋白酶解模拟 | USE WHEN: choose protease and list peptides for mass-spec sample prep | ALIASES: 蛋白酶解, 质谱前处理, 酶解肽段, digest, trypsin, 肽段清单 | RETURNS: 肽段清单
Inputs: sequence (required), enzymes.
Protein enrichment / 蛋白富集分析 | USE WHEN: GO/KEGG enrichment for a protein list | ALIASES: 蛋白富集, protein enrichment, 蛋白GO, 蛋白通路 | RETURNS: 富集通路
Inputs: protein_list (required), species, enrichment_type.
Protein physicochemical properties / 蛋白理化性质 | USE WHEN: molecular weight, pI, GRAVY, instability index etc. from a protein sequence | ALIASES: 蛋白理化性质, 分子量, 等电点, pI, GRAVY, 疏水性, MW, protein properties | RETURNS: MW/pI/GRAVY 等
Inputs: sequence (required), protein_name.
Post-translational modification prediction / 翻译后修饰分析 | USE WHEN: predict phosphorylation / glycosylation and other PTM sites | ALIASES: 翻译后修饰, 磷酸化位点, 糖基化, PTM, phosphorylation, modification sites | RETURNS: 修饰位点预测
Inputs: sequence (required), modifications.
Proteomics methods section draft / 蛋白组论文段落 | USE WHEN: the user wants a proteomics (LFQ/TMT/DIA) methods section with their own instrument settings | ALIASES: 蛋白组方法, 质谱方法, MaxQuant, DIA-NN, proteomics methods | RETURNS: 论文段落
Inputs: software, normalization, experiment_type.
PSI model stability / 模型稳定性 PSI | USE WHEN: population stability index between expected and observed score distributions | ALIASES: PSI, 模型稳定性, 群体稳定性, population stability, 漂移 | RETURNS: PSI 值与稳定性判断
Inputs: expected_probs (required), observed_probs (required), n_bins.
PubMed search / PubMed 检索 | USE WHEN: search PubMed for the latest literature (live NCBI E-utilities) | ALIASES: PubMed, 查pubmed, 最新文献, pubmed检索, NCBI, 最新研究 | RETURNS: PubMed 文献列表
Inputs: q (required), year_start, max_results.
qPCR Bayesian design / 贝叶斯自适应设计（qPCR） | USE WHEN: design a qPCR experiment / digital-twin PCR simulation for a target | ALIASES: qPCR设计, 贝叶斯自适应, digital PCR, 实验设计, target, 扩增效率 | RETURNS: 实验设计方案
Inputs: ctrl_ct (required), treat_ct (required), target, constraints.
qPCR 2^-ddCt relative expression / qPCR 相对表达量（2^-ΔΔCt） | USE WHEN: compute dCt, ddCt and 2^-ddCt fold change from target and reference Ct values, with a group test (calibrated on the mean control dCt) | ALIASES: qPCR, 2^-ddCt, 相对表达量, 倍数, dCt, ddCt, fold change, 内参, Ct值, 基因表达 | RETURNS: fc（2^-ΔΔCt 相对倍数，已按对照组 ΔCt 均值校准）、fold_values、p_value、stat_method（welch_ttest_on_dct / student_ttest_on_dct …
Inputs: exp_ct (required), ctrl_ct (required), exp_ref_ct (required), ctrl_ref_ct (required), +2 more.
Randomization / allocation / 随机化分组 | USE WHEN: produce a reproducible randomization list: simple, block, stratified, or minimization, with a fixed seed | ALIASES: 随机分组, 随机数字表, 区组随机, 分层随机, 最小化法, randomization, random allocation, 分组名单, seed | RETURNS: 分组结果表
Inputs: groups (required), n_subjects (required), seed, method, +1 more.
Renal function & dose adjustment / 肾功能剂量调整 | USE WHEN: the user gives age / sex / weight / serum creatinine and asks for creatinine clearance, eGFR, CKD stage, or how to adjust a drug dose in renal impairment (vancomycin, meropenem, metformin, anticoagulants…) | ALIASES: 肾功能剂量, 肌酐清除率, CrCl, eGFR, 肾小球滤过率, 减量, 剂量调整, 肾功能不全, 万古霉素怎么减量, 按肌酐算剂量 | RETURNS: CrCl（Cockcroft-Gault）+ eGFR（CKD-EPI 2021）+ CKD 分期 + 该药的肾剂量分档（含依据与核对提示）
Inputs: age (required), weight_kg (required), sex, crrt, +5 more.
Reporting guideline checklist / 报告规范清单核对 | USE WHEN: check a manuscript against CONSORT / STROBE / PRISMA / TRIPOD / ARRIVE / STARD | ALIASES: 报告规范, CONSORT, STROBE, PRISMA, TRIPOD, STARD, checklist, 投稿前检查, 规范核对 | RETURNS: 逐条核对结果
Inputs: text (required), design_type.
Restriction sites / 酶切位点分析 | USE WHEN: find restriction enzyme sites in a DNA sequence (can it be cut, which enzyme) | ALIASES: 酶切位点, 限制性内切酶, restriction enzyme, 能不能切开, cloning sites | RETURNS: 酶切位点清单
Inputs: sequence (required).
Results paragraph writer / 结果段落生成 | USE WHEN: the user has statistical results and wants them written into a results paragraph | ALIASES: 结果段落, 写结果, 结果描述, results paragraph, write up the results | RETURNS: 结果段落
Inputs: lang, params, model_type, design_type, +1 more.
Response-to-reviewers drafting / 审稿意见回复追踪 | USE WHEN: the user has reviewer comments and needs point-by-point replies | ALIASES: 审稿意见回复, 逐条回复, 返修, revision, response to reviewers, reply to reviewer | RETURNS: 逐条回复草稿
Inputs: original_text (required), reviewer_comments (required).
Risk ratio / odds ratio / 相对危险度 RR | USE WHEN: RR, OR and 95% CI from a 2×2 table of counts | ALIASES: 相对危险度, RR, OR, 比值比, 四格表, risk ratio, odds ratio, 95%CI | RETURNS: RR、OR、95%CI
Inputs: exposed_total (required), exposed_events (required), unexposed_total (required), unexposed_events (required).
RNA-seq differential analysis / RNA-seq 差异分析 | USE WHEN: differential genes from RNA-seq count matrix (negative binomial) | ALIASES: RNA-seq, 转录组差异, 差异基因, DESeq, count matrix, RNA测序 | RETURNS: 差异基因清单
Inputs: data_json (required), groups, log2fc, fdr_threshold.
ROC curve & AUC / ROC 曲线与 AUC | USE WHEN: the user has a binary gold standard and predicted scores/probabilities and wants AUC, ROC curve, discrimination, or the best cut-off | ALIASES: ROC, AUC, 曲线下面积, 诊断效能, 最佳阈值, cutoff, discrimination, 敏感度特异度, ROC曲线 | RETURNS: AUC、最优阈值、敏感度特异度
Inputs: labels (required), scores (required).
Sample size & power / 样本量计算（设计口径） | USE WHEN: calculate how many subjects are needed (two means / two proportions / correlation / survival), or solve for power | ALIASES: 样本量, 要做多少例, 需要多少病人, sample size, power calculation, 把握度, 最少例数, n per group | RETURNS: 每组例数与合计
Inputs: effect_size (required), alpha, power, n_groups, +2 more.
Get progress and result of an asynchronous job. 生成类动作（topic_generate / paper_draft_one_click / …）提交后返回 job_id（engine_status=queued），用这个工具轮询：每 3 秒查一次，最多等 300 秒；status=succeeded 取 result，failed 读 error（失败不扣分）。US English: poll a queued generation job until succeeded/failed.
Inputs: job_id (required).
List every tool on this server as a compact catalogue (name / when-to-use / returns / required params / cost). 列出三域医研全部动作摘要。仅在不确定该用哪个工具时调用；已知工具名可直接调用对应工具。
Inputs: no named parameters.
Reproducible SAS/R/Python code / 生成可复现 SAS/R 代码 | USE WHEN: generate the SAS / R / Python code that reproduces a given analysis | ALIASES: SAS代码, R代码, 复现代码, reproducible code, Python代码, 统计代码 | RETURNS: 推荐统计方法与代码
Inputs: design (required), n_groups, outcome_type.
Single-cell type annotation / 单细胞细胞类型注释 | USE WHEN: automatically annotate cell types in single-cell clusters | ALIASES: 细胞类型注释, annotation, 单细胞注释, cell type, 自动注释 | RETURNS: 细胞类型注释
Inputs: data_json (required).
Single-cell clustering / 单细胞分析 | USE WHEN: cluster and embed single-cell data (UMAP) | ALIASES: 单细胞, scRNA, 聚类降维, UMAP, Seurat, single cell | RETURNS: 聚类结果与 UMAP
Inputs: data_json (required), n_pcs, min_genes, max_mito_pct.
Single-cell marker genes / 单细胞 Marker 基因 | USE WHEN: find marker genes per cluster | ALIASES: marker基因, 各群marker, markers, 差异标记, cluster markers | RETURNS: 各群 marker
Inputs: data_json (required).
Single-section writer / 写单个章节 | USE WHEN: the user wants only one section written (abstract / methods / discussion / introduction) | ALIASES: 写方法, 写讨论, 写摘要, 写引言, 单章, section, write one chapter | RETURNS: 该章节正文
Inputs: title (required), design, section, population, +1 more.
SHAP single-case explanation / SHAP 单样本解释 | USE WHEN: explain why one patient was predicted high risk (feature contributions) | ALIASES: SHAP, 解释预测, 为什么高风险, 特征贡献, explain prediction, 可解释性 | RETURNS: SHAP 贡献图
Inputs: csv_data (required), model_type, sample_index.
SMD balance check / SMD 均衡性检查 | USE WHEN: standardized mean differences before/after PSM or IPTW (covariate balance) | ALIASES: SMD, 标准化均数差, 均衡性, balance, 匹配后均衡, 协变量平衡, love plot | RETURNS: 各协变量 SMD 与均衡判断
Inputs: treatment (required), covariates (required).
Species dose conversion / 种属剂量换算 | USE WHEN: convert an animal dose to a human equivalent dose (mg/kg ↔ mg/m², FDA guidance) | ALIASES: 种属换算, 动物剂量换人, 剂量换算, species conversion, HED, mg/m2, 体表面积法 | RETURNS: 换算后剂量与依据
Inputs: source_dose (required), source_species (required), target_species (required).
Statistics toolbox (97 tests) / 统计中心（97 个统计工具统一入口） | USE WHEN: any statistical test not covered by a dedicated tool: Kappa, ICC, Bland-Altman, VIF, PCA, cluster, Friedman, McNemar, runs test, sign test, trend chi-square, meta-analysis pieces — pass tool_id | ALIASES: 统计检验, Kappa, ICC, Bland-Altman, VIF, PCA, 聚类, Friedman, McNemar, 游程 | RETURNS: 该统计工具的完整结果（含统计量、P 值、95%CI、解读）
Inputs: payload (required), tool_id (required).
Study design advisor / 研究设计向导 | USE WHEN: the user has a research question but does not know which study design to use (RCT / cohort / case-control / cross-sectional / diagnostic accuracy) | ALIASES: 研究设计选哪个, 设计向导, 用什么研究设计, study design, which design, 研究类型, 队列还是病例对照 | RETURNS: 推荐研究设计与理由
Inputs: pico (required), feasibility.
Survival analysis (KM + Cox) / 生存分析（KM/Cox 全流程） | USE WHEN: follow-up time and event data: survival curves, median survival, hazard ratios, log-rank, multivariable Cox | ALIASES: 生存分析, Cox回归, HR, 风险比, log-rank, 中位生存, 随访, 生存率, hazard ratio | RETURNS: 生存曲线、中位生存、HR、log-rank P
Inputs: data (required), time_col, event_col, group_col, +2 more.
Systematic review assist / 系统评价辅助 | USE WHEN: the user needs screening and extraction support for a systematic review / meta-analysis | ALIASES: 系统评价, Meta筛选, 系统综述, systematic review, 文献筛选提取 | RETURNS: 系统评价框架
Inputs: query, outcome, exclusion, inclusion, +3 more.
Table 1 (baseline characteristics) / 生成 Table 1（基线特征表） | USE WHEN: build the paper's first table: baseline characteristics by group with P values | ALIASES: Table 1, 基线表, 基线特征表, 人口学表, 第一张表, baseline table, characteristics table, 组间比较表 | RETURNS: Table 1 表格 + 可选段落
Inputs: file_id (required), group_variable (required), test_method, generate_paragraph, +1 more.
Subgroup Table 1 / 分组 Table 1（亚组表） | USE WHEN: baseline characteristics split by a subgroup variable (e.g. by sex, by centre) | ALIASES: 亚组基线表, 分层基线表, subgroup table, stratified baseline, 按某变量分层 | RETURNS: 亚组表
Inputs: file_id (required), group_variable (required), subgroup_variable (required), variables_to_include.
Technical roadmap (SVG) / 研究技术路线图 | USE WHEN: the user wants a technical route / workflow diagram for a grant or protocol | ALIASES: 技术路线图, 路线图, 流程图, 研究路线, roadmap, technical route | RETURNS: SVG 路线图
Inputs: title (required), outcome, sample_size, intervention, +1 more.
Text overlap self-check / 文字重合度自查 | USE WHEN: compare a passage with the user's own previous papers (self-plagiarism check) | ALIASES: 查重, 文字重合度, 重复率, overlap, self plagiarism, 相似文献 | RETURNS: 重合度与相似文献
Inputs: text (required), top_n.
Topic feasibility check / 选题可行性评估 | USE WHEN: the user asks whether a topic is doable with their time, sample and resources | ALIASES: 可行性, 做得完吗, 条件够不够, 能不能做, 难度, feasibility, can I finish this | RETURNS: 可行性评分与建议
Inputs: topic (required).
Research gap mining / 研究空白分析 | USE WHEN: the user asks what is still unknown in a field, where the gap is | ALIASES: 研究空白, 还有什么没做, 切入点, 空白点, gap, research gap, 还没解决的 | RETURNS: 研究空白清单
Inputs: topic (required), population.
Research topic generation / AI 生成研究选题 | USE WHEN: the user wants research topic ideas or directions for a field / clinical problem | ALIASES: 选题, 出个题目, 生成选题, 开题方向, 想个课题, topic ideas, research topic, brainstorm topics | RETURNS: 若干候选选题
Inputs: discipline (required), keywords, specialty, research_type.
Topic literature review / 选题文献综述 | USE WHEN: the user wants a literature review or state-of-the-art summary for a topic | ALIASES: 文献综述, 研究现状, 综述, literature review, state of the art, 现状梳理 | RETURNS: 综述文本
Inputs: topic (required), question, population, intervention.
Topic novelty check / 选题新颖性检索 | USE WHEN: the user asks whether a topic is new, or whether someone already published it | ALIASES: 创新点, 新不新, 有没有人做过, 查新, 重复了没有, novelty, is this new, already published | RETURNS: 新颖性评估与相似研究
Inputs: topic (required).
Topic presentation outline / 选题汇报 PPT | USE WHEN: the user wants slide content / presentation material for a topic (开题汇报 / 组会汇报) | ALIASES: PPT, 汇报, 课件, 开题汇报, 组会, slides, presentation, 做几页 | RETURNS: PPT 内容
Inputs: topic (required).
Topic prominence analysis / 选题显示度分析 | USE WHEN: the user asks whether a research direction is hot, influential or crowded | ALIASES: 显示度, 热不热, 影响力, 热度, 关注度, prominence, is this field hot | RETURNS: 显示度指标
Inputs: topic (required).
Topic-level research plan / 生成研究计划 | USE WHEN: the user wants a staged plan (milestones, order of work) for a chosen topic | ALIASES: 研究计划, 怎么安排, 时间表, 进度安排, research plan, milestones, 分几步做 | RETURNS: 研究计划文本
Inputs: topic (required), design.
Top-journal topic mining / 顶刊挖掘 | USE WHEN: the user asks what top journals in a field are publishing and how to align the topic with them | ALIASES: 顶刊, 大刊在发什么, 对标顶刊, top journal, what are top journals publishing | RETURNS: 目标期刊与选题倾向
Inputs: topic (required).
Toxicity prediction (hERG / DILI) / 毒性预测（hERG/DILI） | USE WHEN: cardiac (hERG) and liver (DILI) toxicity risk from a SMILES string | ALIASES: 毒性预测, hERG, DILI, 心脏毒性, 肝毒性, toxicity, SMILES | RETURNS: 毒性风险分级
Inputs: smiles (required), endpoints.
Toxicology assessment / 毒理评估 | USE WHEN: nonclinical toxicology risk: hERG / DILI / genotoxicity, overall risk level | ALIASES: 毒理评估, 毒性风险, 遗传毒, toxicology, nonclinical safety, 安全评价 | RETURNS: 毒性风险分级
Inputs: hERG_IC50_nM (required), logP, daily_dose_mg, expected_Cmax_nM.
Tukey HSD post-hoc / 多组两两比较（Tukey HSD） | USE WHEN: pairwise comparisons after one-way ANOVA with family-wise error control | ALIASES: Tukey, HSD, ANOVA后续, 两两比较, post hoc, 多重比较 | RETURNS: 两两比较 P 值
Inputs: groups (required).
Tumour growth inhibition (TGI) / 抑瘤率 TGI | USE WHEN: compute TGI (%) from control vs treated tumour volumes, with a group comparison | ALIASES: 抑瘤率, TGI, 肿瘤抑制率, tumour growth inhibition, 抑瘤实验, 药效评价 | RETURNS: TGI 与统计检验
Inputs: ctrl_volumes (required), treat_volumes (required).
Tumour microenvironment / 肿瘤微环境分析 | USE WHEN: assess tumour immune microenvironment from TILs / CD8 / PD-L1 data (typing + prognosis hint) | ALIASES: 肿瘤微环境, TME, 免疫浸润, TIL, PD-L1, CD8, immune microenvironment | RETURNS: 微环境分型与预后提示
Inputs: cancer_type (required), tils_pct, cd8_count, pd_l1_pos.
Tumour volume & growth curve / 肿瘤体积计算 | USE WHEN: tumour volume from caliper length/width and the growth curve over days | ALIASES: 肿瘤体积, 长短径算体积, 生长曲线, tumor volume, caliper, 生长抑制曲线 | RETURNS: 体积与生长曲线
Inputs: days (required), widths (required), lengths (required), group_name.
Two-way ANOVA / 双因素方差分析 | USE WHEN: two factors: main effects and interaction | ALIASES: 双因素方差分析, two-way ANOVA, 交互作用, 主效应, 两个因素 | RETURNS: 主效应与交互
Inputs: group_a (required), group_b (required), values.
Wet-lab protocol generation (AI) / AI 生成实验协议 | USE WHEN: the user needs a step-by-step bench protocol they can actually follow (qPCR / WB / ELISA etc.); AI-generated text, not a rule engine | ALIASES: 实验协议, 湿实验方案, 操作步骤, qPCR步骤, WB步骤, ELISA步骤, protocol steps, bench protocol | RETURNS: 分步实验协议
Inputs: query (required), sample_type.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Add one secure layer between your agents and this server.