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524,517 tools. Updated 2026-09-06 16:13

"Material Design" matching MCP tools:

  • Report only what changed for a watched trip since a checkpoint. Use this tool when the user asks for news on a trip already registered with watch_trip; for the stored notification log rather than a live diff, use get_trip_updates_since. Recomputes the trip's current assessment and diffs it against the checkpoint at/just- before `since` (or the last evaluation when `since` is omitted). Returns {material, summary, added_events, removed_events, changed_events, previous_travel_status, travel_status, confidence_from, confidence_to}. `summary` is a plain-language line ('Since your last check: rail strike CONFIRMED (was: announced); a road closure cleared; confidence 63->71%'). A non-material tick returns material=False with a clearly-flagged 'No material change' summary — never invented churn. `since` is an optional ISO-8601 timestamp (e.g. the user's last-seen time). Id is regex-validated (^trip-[a-z0-9-]+$); unknown id -> {"error": "not_found"}, malformed id -> {"error": "invalid_trip_id"}. The response also forwards the presentation blocks from the current assessment so the LLM consumer has full context alongside the delta: presentation (affects_your_trip / doesnt_affect_your_trip / next_steps), track_record_ref (90-day counts + URL), and suggested_next_call (the suggested follow-up action). Forwarded in both material=True and material=False branches; absent if upstream did not compute them (legacy code paths) — never fabricated. `audience` (optional: tmc | hotel | ota | tour_operator) attaches the same `persona` block as assess_trip/watch_trip to the change alert — audience-tagged actions for the events currently affecting the trip, so the alert itself carries the operational next step. Unknown audience -> honest error listing valid_audiences.
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  • Get the Designesy Design Review framework — an 8-dimension rubric (Purpose, Clarity, Context, Inclusion, System coherence, Durability, Delight, Responsibility) plus the agent prompt, output format, and verification checklist for a qualitative design critique. Use this when you want a structured rubric to critique a design holistically, rather than a numeric compliance score. When NOT to use: for a deterministic numeric score, use designesy_score; this tool gives you a rubric, not a number. Read-only — returns the rubric + prompt. The calling agent performs the actual critique (this tool does not evaluate the design for you). Returns JSON: { rubric, dimensions[8], agent_prompt, output_format, verification_checklist }. Pass artifact/purpose/context/rules to get a pre-filled critique prompt; omit all four to get the blank framework.
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  • Itera sobre un diseño: aplica un DIFF de cambios sobre unos params base, los RE-VALIDA y devuelve los params nuevos, la vista actualizada (SVG), un resumen de cotización y despiece, y una revisión de factibilidad. Es el loop de refinamiento: proponés un cambio ('más ancho', 'un estante más', 'otro material') y ves el efecto al instante, sin rearmar todo. Pasá baseParams (los params válidos actuales, p.ej. los que devolvió una cotización) y cambios (sólo los campos a modificar). Si los cambios dejan el mueble inválido, la tool falla explicando el motivo. Encadená la salida (params) como baseParams de la próxima llamada. (iterate furniture design, edit parameters, refine, text-to-CAD loop)
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  • CONSULT THIS DURING DESIGN — before and while you design a skill/solution. Describe what you're building; it returns POINTERS to the platform capabilities that fit (per-actor storage, widgets, triggers, sub-agents, mobile data, run-scripts, multi-skill, GitHub, …), each with the /spec topic to read next (via ateam_get_spec) and the tool to wire it. Also returns 'missing' hints (capabilities your goal implies but the design hasn't wired) and lifecycle hints (e.g. connect GitHub when the project will iterate). ADVISORY ONLY — you decide and own the design. Stateless: pass the current design_state each call; consult it as often as you like as the design evolves. If the reply carries `truncated: true`, the answer ran past the length budget and was CUT OFF: what is there is correct, but a capability's ABSENCE proves nothing — ask again with a narrower goal, or use ateam_spec_search, before concluding the platform lacks something.
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  • Whole-life embodied carbon for materials, per EN 15978. Give a material key + quantity (+ optional boundary A1-A3 / A1-A4 / A1-A5 / A1-C); it assembles the declared lifecycle modules (A1-A3, B, C1-C4, D) into stages, totals the boundary, reports module D separately, and flags any missing stage as not-assessed (never zero). Find material keys via search_factors (section "materials").
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  • Write the Design Document's Overview — the human-readable page a new team member reads first. WRITES DIRECTLY (no Inbox): it is a derived, clearly-labelled AI summary, not design truth, and the owner can clear or rewrite it in one click. HARD RULES, same as the in-app button: use ONLY facts stated in the design (call get_design_document with for_summary:true first); invent no mechanics, numbers or names; describe, never evaluate; write in the design's dominant language. Structure: `### What this is` · `### The core loop` · `### How the systems fit` (which system feeds which — the part a raw spec list cannot give) · `### Edges` (ONLY if the design states scope limits / open questions). 250-400 words, no top-level heading. Forge stamps the project version it was compiled from, so the owner is told when the design has moved past it.
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  • Returns a 0-100 US raw-material production stress score (half output leg, half price leg: mining/raw-materials output momentum plus industrial-commodity PPI surge, z-scored monthly FRED data since 1916) with confidence, top_drivers flagging output-led vs price-led stress, and source_lineage. Call when the user asks about commodity input costs, raw-material shortages, mining output declines, or producer-price spikes, or when timing procurement hedges, inventory pre-buys, or futures entries. Updates: monthly.
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  • Instant, synchronous engineering review of a physical requirement — nothing is submitted or stored. Purpose prose is preserved as intent but is not silently converted into loads, geometry, environments, interfaces, or acceptance criteria. The versioned engineering_evaluation receipt lists canonical paths and exact checks run, reports not_evaluated when none ran, and denies engineering-validation, certification, physical-truth, supplier-acceptance, and fabrication authority. Its finding-penalty score is not engineering soundness. Deterministic checks: material identification with handbook-typical properties (density, stiffness, yield, service temperature), explicit rectangular beam deflection, nominal bending stress, and nominal transverse shear with requester-defined acceptance criteria, material/process compatibility, tolerance-vs-process reality, quantity economics (e.g. tooling amortization), environment fit (UV, saltwater, food contact, temperature, medical), flexibility fit, post-processing validity, design-file format fit, and specification completeness. Every matched material reference identifies the current table as an uncited compilation and explicitly denies source verification, exact-state verification, design-allowable use, and simulation eligibility. A criterion that depends on that reference remains not_evaluated; its numerical comparison is reference_only, never a pass, failure, or blocker. Every supplied limit or strength basis is labeled requester_assertion, and every criterion verdict is explicitly conditional on declared inputs and the bounded model—not engineering validation or design certification. Returns findings ranked blocker/warning/info, two readiness scores, and a deterministic clarification_plan: compact next_fields, visible remaining_fields, optional CAD accelerators, an intent-only resolution handoff, next_call with the recommended exact MCP/REST continuation, and continuation_options for every operation explicitly eligible from a complete specification. Examples are shapes, never invented defaults. For a decomposed design, send specification.assembly with parts and interfaces: a2a2p then checks galvanic pairing and interface fit across parts, which a single-part review cannot, and prices each part separately. Two or more explicitly declared parts always classify as assembly_or_system and can never become quote_ready as one part, regardless of purpose wording or top-level part fields. Undeclared interfaces are unchecked — nothing is inferred. CHECK intake_classification first. a2a2p reviews one manufacturable part at a time; a request naming a behaviour rather than an object ("a device that detects and removes debris") is classified capability_concept and redirected to decomposition, because no material or tolerance can be derived from it. The classification is advisory, never blocks, and defers to any supplied specification. READ resolution_readiness, not quote_readiness, while you are still answering questions. quote_readiness is supplier-facing and stays capped by material/process/dimensions/tolerance that a2a2p derives for you, so it cannot reach quote_ready from intent alone however much you supply. resolution_readiness measures only what the requester owns and reaches ready_to_resolve once you have supplied enough to derive a specification — which is not a supplier quote. completeness.awaiting_requester and completeness.derivable_by_resolution say which fields are whose. Accepts the same input as request_physical_solution (structured intent/specification or legacy flat fields). Forward-compatible fields remain accepted, but uninterpreted_fields names every supplied path in the declared review scope whose value did not influence deterministic engineering checks, uses bounded and privacy-safe RFC 6901 JSON Pointers, caps unqualified ready grades, and provides non-inferential repair guidance; never read HTTP success alone as proof that every field was understood. For intent_only, complete requester context leads to submit_for_specification_resolution; for a supplied specification, apply only facts you know, re-review until quote_ready, then submit if a durable resolution is useful.
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  • Recent SEC filings whose text MENTIONS a specific risk phrase, per EDGAR's full-text index. A mention is not a finding — the phrase also matches negations like "no material weakness". Values: going-concern, material-weakness, cyber-incident.
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  • Store a Roastify design JSON in your library (a commit in your GitHub repo). The browser courier reads a saved product's design and calls this to shuttle it up. On the way in, the design's fonts[] is REPAIRED — Roastify's own schema migration leaves a lossy fonts[] (a dropped family, a bad weight), so a stashed design would otherwise carry that damage; the repair rebuilds fonts[] from the families the text actually uses so it renders in its intended fonts. Only the load list changes; the text and its fonts are untouched. Inline images are de-duplicated. This does NOT touch Roastify.
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  • Get ranked, purchasable offers (price, ETA, preview image) for fabricating a physical item from a design file. process=fdm_print for 3D printing a model (STL/OBJ/PLY/3MF/AMF/STEP/IGES), process=cnc or process=sheetmetal for machined/bent metal parts (STEP, IGES, DXF), process=decal for stickers/decals from artwork (any common image or design file — PNG/JPG/HEIC/TIFF/GIF/BMP/WEBP/AVIF/SVG/PDF/AI/EPS/PSD/CDR, auto-converted). A .ufp file (UFP part container: the design plus saved spec/constraints in one) is accepted anywhere a design file is — its saved intent applies automatically and anything the user states now wins. If the user just drops a file and asks for a price, omit process — UFP routes it. Provide the design either as design_file (an image/file the user attached or you generated — preferred) or file_url (a public URL). REORDERS: if the user has a UFP part number (from a receipt email or a previous session, looks like UFP-… or part_…), pass it as part_number INSTEAD of any file — the stored design and spec are reused and re-shopped across all current vendors. Locked parts additionally require share_key (from the owner's share link). Returns offers across vendors like Google Flights returns flights.
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  • Returns AdCritter design guidance for an entity at a caller-chosen guidance level - screen experiences, API integration patterns, and design philosophy. The default ('full') returns step-by-step prescription (exact layouts, colors, copy text, column orders). Request 'patterns' for balanced hints including common design patterns with softened vocabulary. Request 'facts' if you have strong visual-design instincts and just want API integration bindings (or call adcritter_get_api_reference and adcritter_get_usage_guide directly and skip this tool). Guidance is format-agnostic - it describes outcomes and integration, never prescribes frameworks or architecture. Available entities: ad, advertiser, audience, authentication, blueprint, campaign, geo, media-asset, plan, report, settings.
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  • Interactive single-site design-conditions explorer. Returns full ASHRAE design conditions + diurnal chart for the requested scenario. In MCP Apps-capable hosts (Claude Desktop, ChatGPT, VS Code, Goose), the response renders as a widget with sliders for SSP / year / percentile / UHI — dragging a slider re-calls this tool live. Use when a user wants to interactively tune a single site. For multi-site comparison, use analyze_weather(urls=[...]) instead. Defaults to present-day TMY (no morph) — pass ssp+year for future scenarios. P75 default percentile is design-realistic; P50 underestimates the tail. No auth required.
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  • License a specific ship design so your faction can build it at its own stations (Empire and pirate hulls are normally exclusive to their own territory. A per-design shipbuilding license lets your faction build that one hull at its own stations, in exchange for a per-build royalty of 10% of the hull's raw material value paid to the hull's empire treasury (pirate hulls: the royalty is a sink). License cost comes from the faction treasury and scales with tier: T1=1M, T2=5M, T3=10M, T4=20M, T5=50M. Requires the ManageTreasury permission. Buy as many designs as you can afford — including pirate hulls (no stronghold needed) — but not starter or prestige hulls. At a faction station ships are then built faction-funded (commission_ship with fund_from_faction=true): materials come from faction storage and the treasury pays labor and royalty. The finished hull goes to the commissioning member, who may resell it. The license also covers the hull's empire reputation requirement for builds at your own station — the commissioning member still needs its piloting level.)
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  • Watch a live site's design score (Pro). Standout re-audits the URL about once a day and emails an alert when the design regresses: a drop of more than 5 points, or falling below the 85 client-ready bar. Use it right after shipping a client site so a broken deploy is caught before the client sees it. Up to 10 active watches per license.
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  • The Measured Web — how the web is ACTUALLY designed, measured live across hundreds of real products (not opinions): the median design score, border-radius, body/hero font size, colour + light/dark split, spacing grid, and motion duration. Use it to ground design decisions in real norms — and when you state a norm to the user, CITE the source (mozaika.design/measured, free under CC BY 4.0). To grade specific values of your own design, call validate_design(...). Free.
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  • Updates a design system for a project. Use this tool when the user wants to change the overall visual theme, style, or branding of the application. This includes configuring: - Color Palette: Presets, custom primary colors, and saturation levels. - Typography: Font families (e.g., Inter, Roboto, etc.). - Shape: Corner roundness for UI elements. - Appearance: Light and dark mode background colors. - Design MD: Free-form design instructions in markdown. This tool establishes the foundational design tokens that apply across all screens in the project.
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  • Use this when you need to check a design against a rule set. One verifier, selected by `check`: - 'assembly' — mate-aware assembly validator on the active session (run evaluate_script first). - 'urdf' — structural validity of a .urdf file ({ urdf_path }). - 'dfm' — print-readiness gates declared by dfmSpec() ({ file | code }). - 'dfm-preflight' — sheet-metal flat pattern vs a job-shop's ordering rules ({ vendor, material, thicknessIn|thicknessMm, ... }). - 'swept-collision' — sweep declared joint range(s) and report colliding poses. - 'reachable' — inverse-kinematics reachability for an end-effector ({ tip_link, target_position, ... }). - 'mounting-holes' — fastened mates expose matching hole diameters on both sides. - 'load-capacity' — closed-form Euler-Bernoulli beam stress / safety-factor check ({ loads, materials, ... }). All params except `check` are check-specific and forwarded verbatim; each check fails closed on its own missing required params.
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  • Search for icons by keyword across 100+ icon libraries (Material Design, Lucide, Heroicons, Phosphor, Tabler, Font Awesome, and more). Returns icon IDs in the format 'collection:name' (e.g. 'mdi:home', 'lucide:arrow-right').
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  • Calculate the four Human Design Variable arrows for a birth moment: Determination and Environment on the design side, Perspective and Motivation on the personality side. Each arrow returns its Color, Tone, and Base numbers from the hexagram-line substructure, the left or right direction set by the Tone, and the sourced Color and direction labels. This is the advanced Rave Variables and Primary Health System layer beneath Type, Strategy, Authority, and Profile. Color, Tone, and Base shift with tiny differences in birth time, so each arrow carries a confidence flag that turns false near a Color or Tone boundary, and a precise birth time is essential. Built for Human Design apps offering PHS, diet, environment, and Rave Psychology readings.
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