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134,919 tools. Last updated 2026-05-25 21:11

"Methods for Conducting In-Depth Searches" matching MCP tools:

  • Retrieve all current settings of the authenticated shop account as a JSON object. Returns the full shop configuration: name, address, legal numbers, receipt options, order requirements, enabled features, delivery methods, webshop colours, and third-party integration settings. Use this to verify invoice prerequisites before creating orders: shopName, adressline1, and companyRegistrationNum must all be set for legally valid invoices. If any are missing, prompt the user to fill them in via account_edit.
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  • Download a synthetic HTML sales report for a given period. Period logic: omit all date fields to get yesterday's report; provide y only for a full-year report; y + m for a full-month report; y + m + d for a specific day. Returns an HTML summary including total revenue, number of orders, breakdown by department, VAT summary, and payment methods.
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  • Quote the minimum unit price for a buy. Returns `{ minPrice }` (SUN per resource unit) from GraphQL `market.estimateMinPrice` for the given `resourceType`, `buyAmount`, and `durationSec`. Optional `address` scopes context when the API supports it. No login required; an optional session forwards auth like `tronsave_list_order_books`. Read-only and idempotent. Pair with `tronsave_estimate_buy_resource` for full buy quotes and `tronsave_list_order_books` for depth buckets.
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  • Search across ALL string properties of ALL nodes in a deployed graph using free-text queries. Unlike search_graph_nodes (which filters by specific property), this searches every text field at once. Perfect for finding knowledge when you don't know which property contains the answer. Example: query "quantum" searches name, description, summary, notes, and all other string fields. Returns nodes with _match_fields showing which properties matched. Optionally filter by entity_type to narrow results.
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  • Search the MeSH vocabulary for standardized medical terms. Find MeSH (Medical Subject Headings) descriptors to use in precise PubMed searches. Returns MeSH IDs, preferred terms, and scope notes. Args: term: Search term (e.g. 'diabetes', 'heart failure', 'opioid'). limit: Maximum results (default 10).
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  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • An interactive portfolio built for AI conversations. Browse work, services, and book calls.

  • Live orderbook for a Polymarket market. **When to use:** - Bid/ask depth, liquidity, and yes-share / no-share order structure. **Key fields:** - `Order Size` is share quantity, not USD. Do not describe share size as dollar depth unless you calculate `shares × price`. **Yes/No price relationship:** - Yes and No are complementary (Yes + No ≈ $1). A No bid at price $X means willingness to buy No when Yes is near $(1−X). - A cluster of No bids at low prices (e.g. $0.20) is resistance for Yes rallying to ~$0.80, NOT a support floor for the current Yes price. - When comparing OHLCV odds against orderbook depth, convert No-side prices to Yes-equivalent (1 − No price) before drawing divergence conclusions. **Pitfalls:** - Do not treat raw no-share prices as bearish yes-share odds — prefer `prediction_market_ohlcv` for current odds / implied probability. **Prerequisites:** If `marketId` is unknown, call `prediction_market_lookup` first.
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  • Search award flight availability across ALL supported airlines for a route and date. Searches British Airways, Cathay Pacific, Virgin Atlantic, Alaska Airlines, and American Airlines in parallel. Returns combined results grouped by airline. This is the recommended starting point — use single-airline search only if you need a specific airline. Requires sign-in. Free accounts get 10 economy searches/month; paid plans get unlimited searches across every cabin.
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  • Assess the likely parliamentary reception of a policy proposal. Searches Hansard for relevant debate contributions, then uses LLM sampling to classify sentiment and extract supporters, opponents, and key concerns. Degrades gracefully if sampling is unavailable — returns contributions only.
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  • Quote the minimum unit price for a buy. Returns `{ minPrice }` (SUN per resource unit) from GraphQL `market.estimateMinPrice` for the given `resourceType`, `buyAmount`, and `durationSec`. Optional `address` scopes context when the API supports it. No login required; an optional session forwards auth like `tronsave_list_order_books`. Read-only and idempotent. Pair with `tronsave_estimate_buy_resource` for full buy quotes and `tronsave_list_order_books` for depth buckets.
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  • Forensic orderbook analysis for one Kalshi market. Detects manipulation-vulnerable patterns: (1) wide spread (>$0.10), (2) shallow depth (<10 contracts), (3) few price levels, (4) single-order dominance (>80% in top level), (5) penny-wall pattern (large bids at ≤$0.005, commonly used to fake depth). Returns 0-100 score, severity, and full level-by-level data. Kalshi returns bids only — implied asks computed via yes_bid + no_bid = $1 reciprocity.
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  • Submit an L8 research thesis for dossier generation. Returns a taskId — the dossier is synthesized async by specialist triangulation (tribunal verdict + forge accuracy + trading agent corpus) with LLM inference. Standard depth: automated data aggregation ($0.50). Deep depth: full specialist triangulation with counter-arguments ($5.00). TRENCH whale holders get all dossiers free.
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  • Get the currently approved DKIM vendor domains exposed by the public agent endpoint. Standalone agents use this list to seed Gmail searches; unknown vendors are queued for review when submitted. No authentication required.
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  • Live orderbook for a Polymarket market. **When to use:** - Bid/ask depth, liquidity, and yes-share / no-share order structure. **Key fields:** - `Order Size` is share quantity, not USD. Do not describe share size as dollar depth unless you calculate `shares × price`. **Yes/No price relationship:** - Yes and No are complementary (Yes + No ≈ $1). A No bid at price $X means willingness to buy No when Yes is near $(1−X). - A cluster of No bids at low prices (e.g. $0.20) is resistance for Yes rallying to ~$0.80, NOT a support floor for the current Yes price. - When comparing OHLCV odds against orderbook depth, convert No-side prices to Yes-equivalent (1 − No price) before drawing divergence conclusions. **Pitfalls:** - Do not treat raw no-share prices as bearish yes-share odds — prefer `prediction_market_ohlcv` for current odds / implied probability. **Prerequisites:** If `marketId` is unknown, call `prediction_market_lookup` first.
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  • Estimate the credits required to run a Disco analysis. Returns `required_credits` for public (always 0) and private, with private split by whether LLMs are enabled (use_llms=False is faster, use_llms=True adds smarter preprocessing, literature context and a written summary). Also returns per-visibility depth caps and accepted file formats. No authentication required — when an API key is supplied, also returns the caller's available credits. Call this before discovery_analyze whenever cost or feasibility is unclear. Args: file_size_mb: Size of the dataset in megabytes. num_columns: Number of columns in the dataset. analysis_depth: Search depth (1=fast, higher=deeper). Used to compute the private-run cost. Default 2. api_key: Disco API key (disco_...). Optional. When provided, the response includes `account.available_credits`.
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  • Get authoritative Senzing SDK reference data for flags, migration, and API details. Use this instead of search_docs when you need precise SDK method signatures, flag definitions, or V3→V4 migration mappings. Topics: 'migration' (V3→V4 breaking changes, function renames/removals, flag changes), 'flags' (all V4 engine flags with which methods they apply to), 'response_schemas' (JSON response structure for each SDK method), 'functions' / 'methods' / 'classes' / 'api' (search SDK documentation for method signatures, parameters, and examples — use filter for method or class name), 'all' (everything). Use 'filter' to narrow by method name, module name, or flag name
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  • Full orderbook depth + slippage estimate for any Hyperliquid perp or HIP-4 market. Returns top of book, spread, cumulative depth at $100/$500/$1k/$5k tiers, and estimated slippage for a given order size. Critical for HIP-4 farming and low-liquidity assets where market orders get destroyed by slippage.
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  • Full-text search in your notebook. By default searches only your own notes. Pass filter_agent_id=<int> to search another agent's notebook, or "all" (or "*") for workspace-wide. Or list all notes for a person/thread by scope_ref_id.
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  • Search for emails in Gmail to find specific messages or filter the inbox. Use this when the user wants to find emails by sender, subject, date, content, or other criteria. Returns email summaries suitable for listing and overview - to read full email content, attachments, or HTML body, use get_email with the returned email ID. This tool searches across all folders unless specified otherwise in the query.
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