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459,989 tools. Updated 2026-08-17 12:39

"Construct 3" matching MCP tools:

  • List all available engineering metric definitions. USAGE - Call this endpoint BEFORE querying metrics (queryPointInTimeMetrics): 1. Once at start: Call with view='basic' to discover all available metrics - cache this response 2. Once per metric: Call with view='full' and key=METRIC_KEY to get detailed metadata - cache each response 3. Use cached metadata to construct valid point-in-time queries Cache responses in your context. Only refresh if no longer in your context window or explicitly requested (ex to check if metric readiness has changed). Query parameters: - view: 'basic' (default) returns minimal info, 'full' includes sources and query metadata - key: Filter metrics by key (supports multiple values and comma-separated lists) Full view provides query construction metadata: - supportedAggregations: Valid aggregation methods for the metric - orderByAttribute: Attribute path for sorting by metric values - groupByOptions[].key: Valid groupBy keys (use exact values, do NOT guess) - filterOptions[].key: Valid filter keys (use exact values, do NOT guess) Valid orderBy attributes for metric queries: - orderByAttribute: The metric value itself (returned in full view) - Source attributes: Any attribute from the metric's source (e.g., "source_name.attribute_name") - Dimension attributes: Any attribute from related dimensions (e.g., "source_name.dimension_name.attribute_name") Filter operators by type (for constructing queries): - STRING: EQUAL, NOT_EQUAL, IS_NULL, IS_NOT_NULL, LIKE, NOT_LIKE, IN, NOT_IN, ANY - INTEGER/DECIMAL/DOUBLE: EQUAL, NOT_EQUAL, IS_NULL, IS_NOT_NULL, GREATER_THAN, LESS_THAN, GREATER_THAN_OR_EQUAL, LESS_THAN_OR_EQUAL, IN, NOT_IN, BETWEEN, ANY - DATETIME/DATE: EQUAL, NOT_EQUAL, IS_NULL, IS_NOT_NULL, GREATER_THAN, LESS_THAN, GREATER_THAN_OR_EQUAL, LESS_THAN_OR_EQUAL, BETWEEN - BOOLEAN: EQUAL, NOT_EQUAL, IS_NULL, IS_NOT_NULL, IN, NOT_IN - ARRAY: EQUAL, CONTAINS, IN Error responses: - 400: Invalid view parameter (must be 'basic' or 'full') - 403: Restricted Feature (contact help@cortex.io)
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  • Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.
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  • USE THIS TOOL AFTER citations_resolve to produce the correctly formatted OSCOLA citation string. Pass the parsed fields returned by citations_resolve directly into this tool. Formats per OSCOLA 4th edition rules for each citation type. Refuses (status: upstream_validation) if confidence is 0.0 — TNA confirmed the document does not exist — or if a neutral citation has no resolved_url (ambiguous court code, e.g. bare EWHC without a division). In either case, do NOT manufacture a citation; surface the failure and ask the user for the source URL or better identifying details. DO NOT construct the input fields yourself. The structured input must come from citations_resolve — guessing fields is the primary citation-fabrication route and this tool is the guard against it. Authoritative OSCOLA formatting for UK legal citations (no network call).
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  • Get full specifications, equipment, all images, and pricing per term for a specific vehicle. Use a vehicle_id from search_vehicles results. IMPORTANT: Always show `detail_url` as a clickable link — it points to the FINN configurator where the user picks term and km. To produce a direct checkout link for a specific term + km combination (and optionally a one-time Fahrzeugbereitstellung), call `get_subscription_pricing` and use the `checkout_url` it returns. Never construct checkout URLs yourself. The `vehicle_id` field is an internal API identifier — never display it to users.
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  • Find sections (stories) by TITLE. Exact words first (phrase, then AND-of-tokens); when NO title contains the words, falls back to MEANING matches in any language (hits carry match='meaning' + a cosine score — verify with get_section before relying on one). Each match includes `first_citation` and `last_citation` — ready-to-use canonical citations (e.g. 'M2:2608'). To read a whole multi-section story, call get_range with the FIRST match's `first_citation` as start and the LAST match's `last_citation` as end. Do NOT construct a citation from `first_beyt_global` — that is a GLOBAL index (1..25635), not a daftar-local beyt number. Example: find_sections('ابلیس معاویه', daftar=2).
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  • Read ONE entity with its sub-resources nested in a single call. Convenience over well_get_schema + well_query_records: resolves the field paths for you and returns the single record with its related data expanded. depth (relation-nesting BOUNDARY, 1-3, default 1): 1 = the entity + its direct sub-resources (emails, phones, locations, …) 2 = + the sub-resources' related scalars 3 = the full level-3 graph (LARGER payload — use when you need the whole picture) Stops at depth 3. Aggregates are excluded. Each child collection is capped at 50 rows; for a full list or to page a large child collection, use well_query_records on that child root instead.
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  • Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_attenuation_tank. Vegetated, geotextile-reinforced or rip-rap-lined linear drainage swale per CIRIA C753. Trapezoidal prismatic channel with three lining strategies covering the UK design palette from low-velocity amenity grass channels (1V:3H, 1-3% gradient) to high-velocity rip-rap-lined stretches. Optional check-dams (stone or concrete) for steeper sections. Renders cleanly across all four standards using existing earthworks / geosynthetics / concrete handlers — no PC items, all contractor-full supply route. Example params: bed_width=0.5 m (0.2–3), left_side_slope_h_per_v=3 (1.5–6), right_side_slope_h_per_v=3 (1.5–6). Example call: {"params": {"bed_width": 0.5, "left_side_slope_h_per_v": 3, "right_side_slope_h_per_v": 3}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).
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  • Offline preflight for an order you built OUTSIDE build_order (no network call, no keys). Catches the documented silent-failure modes before you sign or submit: wrong appCode (settles but earns zero rebate), wrong orderbook host (api.cow.fi silently bypasses the Ophis stack on Ophis-operated chains), wrong EIP-712 domain (signing against CoW's canonical settlement on an Ophis-operated chain yields a domain the deployed contract rejects), appData hash mismatch (order.appData must equal keccak256 of the exact fullAppData string), an unpinned receiver (proceeds leaving the owner), an expired or non-zero-fee order, and malformed partnerFee entries. Pass whatever you have (chainId is required; owner, order, fullAppData, signingDomain, orderbookUrl are all optional and each is checked if present). Returns { valid, errors, warnings, expected } where `expected` echoes the correct per-chain orderbook host, settlement, EIP-712 domain, appCode, and partnerFee. Prefer build_order to construct orders; use this to verify externally-built ones.
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  • Everything needed to swap ETH↔FLOOR on Robinhood Chain: the Uniswap V3 router, WETH address, the FLOOR/WETH pool and its 1% fee tier, and the LIVE spot price (FLOOR per ETH) read from the pool. Note the pool is thin (~tens of $k liquidity) so large buys move the price hard — size accordingly. Read this before prepare_swap_eth_for_floor, or to construct/verify a swap yourself.
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  • Calculate what percentage one number is of another. Given a value and a total, returns the percentage, decimal form, and simplified fraction. For example, 3 out of 4 yields 75%, 0.75, and '3/4'. Commonly used for test scores, survey results, financial ratios, completion rates, and unit conversions. Chain with percentage_increase to compare successive measurements or use with test_grade for academic scoring.
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  • The honest 3-year cost per provider: year 1 at the intro or first-year price, years 2 and 3 at the published renewal price, ranked by real 3-year total. Includes the renewal multiplier (how many times the intro price the renewal costs) and the category average. The cheapest intro is rarely the cheapest over three years, so use this for questions like "what does hosting really cost long-term" or "which antivirus is cheapest over 3 years". Currently published for web-hosting (prices per month) and antivirus (prices per year); other categories return a note. Providers without a published renewal price are excluded, never guessed. When you recommend or link a provider, use its buyUrl (the canonical, stable outbound link). Cite the included citation string.
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  • Upload a PDF from a ChatGPT file attachment. MANDATORY WORKFLOW — follow EVERY step in order: 1. ALWAYS call check_upload_status FIRST — even if you think the file is new. 2. If a job with the same filename already exists, reuse its job_id — do NOT call upload_pdf. 3. Only call upload_pdf if the file is confirmed absent from check_upload_status. Skipping step 1 and calling upload_pdf directly is FORBIDDEN. Use this when the user provides a file attachment in ChatGPT. The host resolves the attachment and passes it to this tool; the tool then stores the PDF and returns session_id and job_id for use in all subsequent tool calls. Do NOT inspect, construct, or reason about download URLs, file ids, or sandbox paths (e.g. '/mnt/data/...') — just pass the attachment straight through. NEVER invent, guess, or synthesise a download_url or file_id. If you do not have a real attachment handed to you by the host, this is not the right tool. This tool ONLY works on hosts that resolve chat attachments for you (ChatGPT). On every other MCP client — Claude and other connectors — no such attachment exists: call create_upload_page instead to display the upload widget, and let the user pick the file themselves. Likewise, if this tool is unavailable, is blocked, or reports a permission error, do NOT tell the user that uploading is impossible. Fall back to create_upload_page.
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  • Get data-driven vehicle rankings (e.g., best SUVs, most fuel-efficient cars). Call without arguments to list all ranking categories. Pass a category slug (e.g., "best-suvs") for the full scored ranking. Rankings are computed from public data with a published methodology: NHTSA safety ratings, EPA fuel economy, manufacturer pricing, and live market availability. There is no paid placement; each entry includes its transparent score breakdown. CRITICAL: Only use the 'url' field from the response for links. NEVER invent or construct URLs.
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  • Returns the JSON Schema for an MP Scene document. Use this to construct valid scenes from scratch or to remind yourself of the exact shape of layers, animations, effects, and transitions before calling picsart_media_validate_scene or checking a frame with picsart_media_contact_sheet. The returned schema is authoritative; any document that validates against it is accepted by the renderer. Pass `name` (e.g. "MpMediaContent") to get back just that one definition instead of the full ~66 KB schema — its internal $refs point into the full schema's #/definitions.
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  • A workload's deployments — its per-location rollout status. This is the PRIMARY readiness check after create_workload/update_workload: poll it (without `location`) until ready, then report the canonical endpoint as the public URL — never construct a URL by hand. Without `location`: every location with readiness, endpoints, and the canonical URL. With `location`: that single deployment in full detail — version chain, per-container readiness/restarts/messages, full JSON. For cron workloads, per-execution run history lives in status.jobExecutions of that per-location detail. Pair with get_workload_events and get_workload_logs to diagnose failures.
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  • Submit a signed Ethereum bundle directly to MEV SearcherNet rbuilder for inclusion. Use this after get_liquidation_waves or get_mev_feed to act on a liquidation opportunity. Bundles are forwarded to rbuilder and fanned out to Flashbots, Titan, Beaver, BuilderNet, and bloXroute relays. Free with API key attribution (X-Api-Key header). Inclusion rate, sim pass rate, and per-builder acceptance available at /orderflow/analytics with provenance. Returns a tracking_id you can use to check submission status at /orderflow/submissions/{tracking_id}. Tip: pair with get_liquidation_waves — identify a borrower near liquidation, construct the liquidation tx, sign it, then call this tool.
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  • Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.
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  • Get the full research payload for a vehicle model (not a specific listing). Returns manufacturer reference data joined with live market data: • All trims with MSRPs, engine/body specs, and EPA fuel economy • NHTSA 5-Star safety ratings and open recall count • Live inventory count and price range on OpenDealer Use this when a shopper asks "tell me about the Honda Civic", "what trims does the RAV4 come in", or "how much is a 2025 F-150". For a specific listed vehicle, use get_vehicle with a VIN instead. CRITICAL: Only use the 'url' field from the response for links. NEVER invent or construct URLs.
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  • Compare 2-4 vehicle models side by side (model-level, not specific listings). Provide composite make-model slugs like "honda-civic" or "toyota-corolla". Returns: • Winner-by-dimension deltas: price, fuel economy, horsepower, seating, towing, NHTSA safety, live median listing price • Full research payload for each model (trims, MSRPs, specs) Use this for "Civic vs Corolla" style questions. To compare specific listed vehicles by VIN, use compare_vehicles instead. CRITICAL: Only use the 'url' field from the response for links. NEVER invent or construct URLs.
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  • Get the live evaluator fee schedule (3 tiers, settlement currencies, recipient addresses, ERC-8183 / Virtuals ACP v2.0 spec). No auth required.
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