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161,441 tools. Last updated 2026-05-30 01:45

"How to write a query in Elasticsearch" matching MCP tools:

  • Read an agent's STRAT config (the parameters its tower floor runs on). WHAT IT DOES: GETs /v1/agents/:agent_wallet/config. Public read — anyone can audit any agent's strategy. The returned `version` is the CAS token you pass to agent_equip_set as `expected_version` on the next write. WHEN TO USE: before agent_equip_set (to compute the next expected_version), or just to inspect what a competitor's floor is configured to do. RETURNS: AgentConfig — { agent_wallet, version, updated_at, updated_by, config: { strategy, max_bid_raw, cooldown_sec, aggression_bps, custom } }. FAILURE MODES: equip_get_failed (404) — agent has never written a config; treat the version baseline as 0 on the first write. RELATED: agent_equip_set (write), agent_operators_list (who can write).
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  • Search US television news closed captions (2009–October 2024, 150+ stations) for spoken mentions of a query. Returns a normalized per-station time series showing relative airtime devoted to the topic. Use the stations parameter to compare specific networks (e.g. ["CNN", "FOXNEWS", "MSNBC"]); omit to get combined national coverage. TV query also supports in-query operators: station:CNN, network:CBS, market:"National", show:"Anderson Cooper 360", context:"vaccine". Important: most station monitoring ended October 2024 — use gdelt_list_tv_stations to verify active date ranges before querying recent events.
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  • Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.
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  • List or search Sri Lankan cities Kapruka delivers to. Use the `query` param to filter (e.g. "colombo" → all Colombo zones, "anur" → Anuradhapura). Without a query you get the first 25 cities alphabetically, which is rarely what an agent needs — pass a query. Returns canonical city names (use these as the `city` argument to kapruka_check_delivery) plus any common aliases / vernacular spellings. Args: params (ListDeliveryCitiesInput): - query (Optional[str]): Partial match filter - limit (int): Max results, 1–50 (default 25) - response_format (str): 'markdown' (default) or 'json' Returns: str: Cities list in the requested format. JSON schema: { "cities": [{"name": str, "aliases": [str]}], "total_matched": int, "showing": int }
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  • Execute a SQL query on Baselight and wait for results (up to 1 minute). The query executes and returns the first 100 rows upon completion, or info about a pending query that needs more time. Use DuckDB syntax only, table format "@username.dataset.table" (double-quoted), SELECT queries only (no DDL/DML), no semicolon terminators, use LIMIT not TOP. If query is still PENDING, use `sdk-get-results` to continue polling. If totalResults > returned rows, use `sdk-get-results` with offset to paginate.
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  • USE WHEN the user has no ChiefLab API key yet and you've gotten a 401 / 'authentication required' error from any other tool. Agent-first signup: creates a new workspace and returns the API key inline as `apiKey`. PREFERRED flow: use your filesystem tools to write the apiKey into the user's MCP config (see mcpConfigSnippet for the patch shape), then ask the user to restart their runtime once. After restart, re-call the original tool. FALLBACK: if you can't write to the config file, surface the included deliveryUrl to the user — they click, see the key, paste it manually. URL expires in 1 hour, single-use, IP-rate-limited (5/IP/hr). No login form.
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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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  • India Open Government Data (OGD) Platform MCP — data.gov.in

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • HOW TO CALL THIS TOOL — read before every call: Decompose the user's request into filters first. Only what's left over goes in query. STEP 1: brand name → brand filter. STEP 2: product category → category filter. STEP 3: price → min_price/max_price. STEP 4: what remains → query. BAD: query='Sony headphones under £200' | GOOD: brand='Sony', category='Headphones', max_price=200, no query. BAD: query='tablet' | GOOD: category='Tablets', no query. BAD: query='smartwatch' | GOOD: category='Wearables', no query. BAD: query='macbook neo' | GOOD: brand='Apple', category='Laptops', query='neo'. BAD: query='Samsung QLED TV' | GOOD: brand='Samsung', category='TVs', query='qled'. If brand+category alone cover what the user wants, omit query entirely. Only put differentiating terms in query: model lines (neo, ultra, oled), variants, model numbers (WH-1000XM5, s25 ultra). CROSS-CATEGORY NOTE: Gaming headsets → category='Headphones', query='gaming headset'. The Gaming category is consoles/controllers/accessories only. Always set lite=true. If 0 results, broaden the query or drop filters. Use get_product for full specs. Search 26,000+ deduplicated UK electronics products across multiple retailers with price comparison. Covers: Laptops, Desktops, Phones, Tablets, Headphones, Monitors, TVs, Cameras, Keyboards, Mice, Speakers, Gaming, Wearables, Printers, Networking, Storage, Audio, Drones, Cables & Chargers. All prices in GBP. Returns summary data: title, brand, price, availability, category, purchase link, offer_count. MANDATORY PRICE COMPARISON: For any product relevant to the user's needs, if offer_count > 1, you MUST call get_product before responding — never mention multiple offers without presenting the full comparison. A response is incomplete if it references offer_count > 1 without retailer pricing details. Show: cheapest retailer, all other prices with the difference, exact savings amount, delivery differences if relevant. The offers[] array is sorted cheapest first. Even when the user doesn't explicitly ask about price, if offer_count > 1 it's always worth mentioning the savings. For spec-based queries (RAM, ports, screen size, weight etc.), search first then call get_product on top 3-5 results — do not assume specs from titles. STOCK: When availability is out_of_stock, mention it as an alternative and suggest checking back — do not silently omit it.
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  • Lists perspectives — either browsing one workspace or searching by title across every workspace the user can access. Items include perspective_id, title, status, conversation count, and workspace info. Behavior: - Read-only. - Browse mode (workspace_id, no query): lists every perspective in that workspace. - Search mode (query): matches against the perspective title across accessible workspaces. Optional workspace_id narrows the search. Query must be non-empty and ≤200 chars. - Errors with "Please provide workspace_id to list perspectives or query to search." if neither is given. - Pass nextCursor back as cursor; has_more indicates further results. When to use this tool: - Resolving a perspective_id from a name the user mentioned (search mode). - Browsing a workspace's perspectives to pick or summarize. When NOT to use this tool: - Inspecting one known perspective in detail — use perspective_get. - Aggregate counts or rates — use perspective_get_stats. - Fetching conversation data — use perspective_list_conversations or perspective_get_conversations. Examples: - List all in a workspace: `{ workspace_id: "ws_..." }` - Search by name across all workspaces: `{ query: "welcome" }` - Search within a workspace: `{ query: "welcome", workspace_id: "ws_..." }`
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  • Full-text search across parsed module manuals, product pages, and firmware release notes. Use this only when the question is about content that lives in continuous prose rather than in typed fields: - Procedural: calibration sequences, button combos, factory-reset steps, save/load procedures. - Diagnostic: LED color meanings, error indicators, troubleshooting trees. - Firmware specifics beyond the short notes on firmware_versions (which only carry the headline change). - Panel walkthroughs and prose explanations that aren't captured as parameters/jacks/zones. Do NOT call this for content already in get_module: a parameter's behavior, a jack's signal type or polarity, a mode's name or description, capability tags, HP, or power draw. Those are typed and authoritative there. Do NOT call this to summarize a module — that's get_module's job. search_manual returns excerpts, not summaries. Returned chunks are source prose, not typed facts. Read them to ground your answer, then paraphrase and point the user to the source to verify (cite-and-point, not reproduce — SKILL.md §8). `text` is capped (~800 chars); the full passage is at audit_url. Args: - query (string, required): search terms. Plain words are AND'd by default ("calibration LED" matches chunks mentioning both). If the AND match returns 0 rows, the server retries with OR (any-token match) and sets _meta.relaxed_to_or=true on the response — so a long natural-language query like "cascade mode time inner outer delay" still surfaces something useful instead of zeroing out. Best practice is still 2–4 distinctive keywords; the OR fallback is a safety net, not a substitute. Query is tokenized to alphanumeric runs; FTS5 punctuation is stripped. - module_id (string, optional): "<manufacturer>/<module-slug>" — restrict to one module. Strongly recommended when the user has named a module. - source_id (integer, optional): restrict to one source. Use when you already have a source_id from get_source / list_references and want to dig into that specific document. - source_type (string, optional): one of "manual", "product_page", "firmware_notes". Defaults to all. - limit (integer, optional): default 5, max 20. Smaller is usually better — top-3 hits cover most queries. Returns: { "query": string, "results": [{ "chunk_id": number, "source_id": number, "source_type": string, "source_title": string | null, "module_id": string | null, "heading_path": string, // "Calibration > Tuning Procedure" "snippet": string, // BM25-highlighted excerpt with [matches] in brackets "text": string, // chunk text, capped ~800 chars; paraphrase, don't paste "truncated": boolean, // true if text was trimmed; full passage at audit_url "audit_url": string, // human-readable audit page for the source "rank": number // BM25 score (more negative = better match) }], "total": number, // total matches across the corpus (capped at 200) "_meta": { "kind": "manual_excerpt", "query": <args>, "relaxed_to_or": true // only present when AND returned 0 and OR retry fired } } Examples: - "How do I calibrate Plaits' V/Oct?" → { query: "calibration V/Oct", module_id: "mutable-instruments/plaits" } - "What does the red LED on Marbles mean?" → { query: "red LED", module_id: "mutable-instruments/marbles" } - "How do I reset Pamela's New Workout to defaults?" → { query: "factory reset defaults", module_id: "alm-busy-circuits/pamelas-new-workout" } - "What changed in Plaits firmware 1.2?" → { query: "1.2", module_id: "mutable-instruments/plaits", source_type: "firmware_notes" } Errors: - Returns results=[] with total=0 if nothing matches. Not an error. - Errors only on malformed input (missing query, invalid limit, unknown source_type).
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  • Read an agent's STRAT config (the parameters its tower floor runs on). WHAT IT DOES: GETs /v1/agents/:agent_wallet/config. Public read — anyone can audit any agent's strategy. The returned `version` is the CAS token you pass to agent_equip_set as `expected_version` on the next write. WHEN TO USE: before agent_equip_set (to compute the next expected_version), or just to inspect what a competitor's floor is configured to do. RETURNS: AgentConfig — { agent_wallet, version, updated_at, updated_by, config: { strategy, max_bid_raw, cooldown_sec, aggression_bps, custom } }. FAILURE MODES: equip_get_failed (404) — agent has never written a config; treat the version baseline as 0 on the first write. RELATED: agent_equip_set (write), agent_operators_list (who can write).
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  • List branches in a project. Requires at least Viewer role. Use max_results to bound the response size (default 100, max 1000). When the result is truncated, the response includes truncated=true and total_count so you know how many branches exist in total.
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  • Write raw content to one cell and recalculate dependents in memory only. Start with --writable when the edit should persist to JSON.
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  • Return a table surface's column definitions so an agent knows what keys create_row/update_row will accept. Each column has `key` (the field name in row.data), `label` (human-readable), `type` (text | longtext | url | status | owner | date | number), `position`, and, for status/owner columns, the allowed `options`. Empty array on doc-only workspaces; callers should still be able to write rows (columns auto-seed on first write). Multi-surface workspaces accept `surface_slug` to scope to a specific table sheet (use `list_surfaces` to enumerate); omit to fall through to the workspace's primary table surface.
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  • List all Argo campaigns the current grant token has access to, including the access level ("read" or "read+write") for each. Call this first when the user has not provided a campaign ID. Each entry includes both `campaignName` and `id` (shown inline as `[id: …]` and also in structuredContent.idMap). Use the `id` verbatim for any subsequent tool call that takes a `campaignId`. In prose to the user, refer to campaigns by `campaignName`; do not print the raw `id` unless asked.
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  • Create a new API key with specified scopes. Cannot create keys with higher scopes than the current key. Site-scoped keys restrict access to a single site. Requires: API key with write scope. Args: name: Human-readable name for the key (1-100 chars) scopes: Comma-separated scopes. Options: "read", "read,write", "read,write,admin". Default: "read" site_slug: Optional — restrict the key to a single site. Omit for account-wide access. Returns: {"api_key": "bh_...", "key_id": "uuid", "prefix": "bh_...", "name": "My Key", "scopes": ["read", "write"], "message": "Store this API key securely — it will not be shown again."} Errors: VALIDATION_ERROR: Invalid name, scopes, or max 25 active keys FORBIDDEN: Cannot create keys with higher scopes than current key
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  • Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.
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  • Create a manual backup (runs asynchronously). The backup starts in the background. Poll list_backups() to check status. Requires: API key with write scope. Args: slug: Site identifier Returns: {"id": "uuid", "status": "pending", "message": "Backup started. Poll list_backups() to check status."}
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  • Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.
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  • Returns a publisher's ads.txt change log — one entry per crawl in which its authorized-seller set changed. A publisher quietly adding a reseller line is a real fraud signal; this is how a buyer audits supply over time. Inputs: - `domain` (path, required): publisher domain. - `since` (query, optional): ISO date / date-time lower bound on `observed_at`. - `limit` (query, optional): max entries — default 50, max 200. Returns `changes[]`, newest first — each with `observed_at`, `added_count`, `removed_count`, `additions`, `removals`, `directive_changes`.
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  • Validate a proposed request payload against the registered Zod schema for an operation, returning the exact canonical error envelope the HTTP surface would emit. WHEN TO USE: - Before calling a write endpoint, to catch payload bugs locally. - Debugging 400 validation_error responses. RETURNS: - valid: true when the payload would pass Zod validation. - When invalid, the canonical { error: { type, code, message, param, doc_url, details[] } } envelope is included under `error`. EXAMPLE: validate_request({ path: "/v1/data/query", method: "POST", payload: { dataset: "inference_outcomes", limit: 9999 } })
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