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234,867 tools. Last updated 2026-06-25 10:44

"How to create a Gantt chart for planning projects" matching MCP tools:

  • Call when the user asks at month granularity or wants the best month from a multi-month window ("how is next month", "best month in 2026 to X", "下个月适合吗"). Use for trip-month selection, launch months, content-calendar planning, quarterly/annual decisions. Modes: single month, compare up to 5 months, or scan up to 12 months (returns top 5). Returns month score, element breakdown, adverse alerts. For day precision near the 4th–6th of a month use `intentions_ask_day`; for hour precision use `intentions_ask_hour`.
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  • List extendable delegate candidates for a `receiver` and `resourceType` (ENERGY|BANDWIDTH). Optional `suggestData` scores an extend-and-buy scenario for planning purposes. Read-only; does NOT create orders or change on-chain state. Works without `mcp-session-id`; when a session is present, auth is forwarded so results can reflect the logged-in account where supported. NOTE: this is GraphQL market data for discovery only. To actually submit an extension, call the authenticated REST `POST /v2/get-extendable-delegates` with `extendData` (payload shape differs from this GraphQL response).
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  • Call when the user wants a visual overview rather than a narrative answer ("show me this week", "chart for today", "next 12 months", "看一下图"). Returns an ASCII chart: `hourly` = 12 two-hour blocks of one day, `weekly` = 7 days, `yearly` = 12 months. The `hourly` mode emits the same hour-resolution scores as `intentions_ask_hour` and is gated behind the Pro subscription on the same terms — on the free tier it returns a `subscription_required` error whose payload suggests `weekly` / `yearly` chart modes or `intentions_ask_day` as alternatives. `weekly` and `yearly` are always free.
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  • List the user's CoreModels projects as [id,name,accessLevel] (see the response "format" field). Use a returned id as graphProjectId for other tools. Pass searchTerm to filter by name (case-insensitive substring). Set includePublicProjects=true to also include public projects. Paged: page is 1-based; increment page up to the returned totalPages to get all results.
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  • Find catalog tracks near a target tempo. Returns tracks whose BPM is within +/-`tolerance` of `bpm`, ordered by closeness then popularity — useful for DJ set planning, workout playlists, or tempo-matching. Each returned track carries full audio features. To also constrain by musical key, combine with find_tracks_by_key.
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  • Returns file metadata (content_type, download_url, download_size, expires_at) for the report or zip artifact. Use artifact='report' (default) for the interactive HTML report (~700KB, self-contained with embedded JS for collapsible sections and interactive Gantt charts — open in a browser). Use artifact='zip' for the full pipeline output bundle (md, json, csv intermediary files that fed the report). While the task is still pending or processing, returns {ready:false,reason:"processing"}. Check readiness by testing whether download_url is present in the response. Once ready, present download_url to the user or fetch and save the file locally. Download URLs expire after 15 minutes (see expires_at); call plan_file_info again to get a fresh URL if needed. Terminal error codes: generation_failed (plan failed), content_unavailable (artifact missing). Unknown plan_id returns error code PLAN_NOT_FOUND.
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  • List extendable delegate candidates for a `receiver` and `resourceType` (ENERGY|BANDWIDTH). Optional `suggestData` scores an extend-and-buy scenario for planning purposes. Read-only; does NOT create orders or change on-chain state. Works without `mcp-session-id`; when a session is present, auth is forwarded so results can reflect the logged-in account where supported. NOTE: this is GraphQL market data for discovery only. To actually submit an extension, call the authenticated REST `POST /v2/get-extendable-delegates` with `extendData` (payload shape differs from this GraphQL response).
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  • Aspect grid between two natal charts using the tropical zodiac. Returns all inter-chart aspects using standard inter-chart orbs. Useful for relationship compatibility analysis. SECTION: WHAT THIS TOOL COVERS Bidirectional aspect matrix: every person1 planet to every person2 planet within orb. Does not produce a compatibility score — raw geometry only. House overlays are not included. SECTION: WORKFLOW BEFORE: asterwise_get_western_natal per person — understand charts individually first. AFTER: asterwise_get_western_composite — midpoint chart for the relationship itself. SECTION: INPUT CONTRACT person1, person2 — each WesternBirthData (date, time, lat, lon, timezone). house_system ignored for synastry payload. SECTION: OUTPUT CONTRACT data.aspects[] — person1_planet, person2_planet, type, exact_angle, orb data.total_aspects SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data. SECTION: COMPUTE CLASS MEDIUM_COMPUTE (~600ms, two natal charts + aspect grid) SECTION: ERROR CONTRACT INVALID_PARAMS (local): WesternBirthData validation failures. INTERNAL_ERROR: Any upstream API failure or timeout → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_western_composite — one merged midpoint chart vs synastry (two charts overlaid). asterwise_get_western_compatibility — numeric 0–100 score vs raw aspects.
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  • Solar return chart for a given year. Finds the exact moment the Sun returns to its natal tropical longitude and builds a complete Western natal chart for that moment at the birth location. Provide the year as an integer (e.g. 2026). SECTION: WHAT THIS TOOL COVERS Annual solar return — the chart cast for the precise instant the transiting Sun reaches the natal Sun's longitude, relocated to birth place (not relocated charts). The embedded data.chart is a full tropical chart at that instant. SECTION: WORKFLOW BEFORE: asterwise_get_western_natal — understand natal chart before reading return. AFTER: None. SECTION: INPUT CONTRACT birth — WesternBirthData. house_system ignored (chart uses return computation defaults). year (int) — calendar year of the return (e.g. 2026), not age. SECTION: OUTPUT CONTRACT data.planet — 'Sun' data.natal_longitude (float — natal Sun tropical longitude) data.return_utc (string — ISO 8601 UTC moment of return) data.return_jd (float — Julian Day of return) data.chart — full Western natal chart at return moment SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data. SECTION: COMPUTE CLASS MEDIUM_COMPUTE (~800ms, iterative Sun longitude search) SECTION: ERROR CONTRACT INVALID_PARAMS (local): WesternBirthData validation failures. INTERNAL_ERROR: Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: year param is the calendar year of the return (e.g., 2026), not the age. Feeding age instead of year silently produces the wrong return chart. SECTION: DO NOT CONFUSE WITH asterwise_get_western_lunar_return — Moon return, ~monthly. asterwise_get_varshaphal — Vedic Tajika solar return — different system.
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  • Retirement projection for a lump-sum investment in the Savvly Longevity Benefit. Returns payout amounts at each milestone age (80, 85, 90, 95) with Savvly vs market alone cumulative totals, per-age breakdowns, and server-provided `_lower`/`_upper` range bounds. Use `_upper` as the central illustrative estimate and `_lower` to communicate downside. Suitable for retirement income planning, annuity alternative analysis, and longevity benefit illustration. Response embeds SEC-style disclaimers and per-field interpretation hints under `metadata`. Payout methodology — Savvly vs market alone: the payout values are calculated by comparing two investors of the same age committing the same principal. Investor 1 invests in the market with the Savvly Longevity Benefit; Investor 2 invests in the market alone (no longevity overlay). To make the comparison apples-to-apples, at each milestone age (80, 85, 90, 95) Investor 2 withdraws from their market alone portfolio the same dollar amount Investor 1 receives as a payout from Savvly. The `payout_market_alone_*` and `total_market_alone_*` figures are therefore what Investor 2 can actually withdraw to match Savvly's payouts before running out — they fall to 0 once the market alone portfolio is depleted. The `savvly_upside_*` (and `total_savvly_upside_*`) fields quantify how much more total money Investor 1 receives in payouts from Savvly than Investor 2 is able to withdraw over time to match those payouts. DISCLOSURE REQUIRED: display `disclosure.text` verbatim and link `disclosure.url` to the user alongside any figures from this response. Required by SEC Marketing Rule and FINRA Rule 2210 — do not paraphrase or omit. VISUALIZATION: this tool emits an interactive chart widget (MCP Apps — see `_meta.ui`) that the HOST renders inline and editable; other clients render only your text and show no chart. That widget is the canonical chart for these numbers: do NOT draw, generate, or re-render a duplicate of it. You MAY still create your OWN, DIFFERENT visualization (e.g. a table or an alternate breakdown) and place it wherever you judge best — only the MCP App widget's position is constrained. Do NOT claim or imply a chart is visible (avoid 'the chart above shows…'); you cannot tell whether the host rendered the widget. Summarize the key figures in prose and show the `disclosure` text and link, and reference the widget only conditionally (e.g. 'if your client shows the interactive chart, its fields are editable to re-run the projection'). ORDER: BEFORE you call this tool, ALWAYS write at least one short lead-in paragraph (1-3 sentences) framing what the projection will show — do NOT invent specific figures you do not have yet. On hosts that render the widget inline at the tool call, this keeps your text ahead of the chart so the widget is never the first thing shown; THEN call the tool (this lead-in is framing, NOT asking the user for inputs — still call it in the same turn without waiting) and give the grounded figures + disclosure after it returns. This lead-in rule applies to the MCP App widget only; any visualization you create yourself may appear wherever you judge best. INPUTS: every parameter is OPTIONAL and defaults to a sensible value. Call this tool IMMEDIATELY — pass only the values the user explicitly stated and omit the rest. Do NOT ask the user for starting values, assumptions, or missing parameters before calling; the rendered widget has editable fields so they adjust age, amounts, and other assumptions inline after it appears.
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  • Retirement projection for monthly contributions to the Savvly Longevity Benefit over a number of years. Returns payout amounts at milestone ages 80/85/90/95 with Savvly vs market alone cumulative totals, per-age breakdowns, and server-provided `_lower`/`_upper` range bounds. Use `_upper` as the central illustrative estimate and `_lower` to communicate downside. Suitable for retirement savings planning, annuity alternative comparison, and longevity benefit illustration. Supports an optional annual contribution increase and an optional early-withdrawal age. Disclaimers + per-field hints under `metadata`. Payout methodology — Savvly vs market alone: the payout values are calculated by comparing two investors of the same age committing the same principal. Investor 1 invests in the market with the Savvly Longevity Benefit; Investor 2 invests in the market alone (no longevity overlay). To make the comparison apples-to-apples, at each milestone age (80, 85, 90, 95) Investor 2 withdraws from their market alone portfolio the same dollar amount Investor 1 receives as a payout from Savvly. The `payout_market_alone_*` and `total_market_alone_*` figures are therefore what Investor 2 can actually withdraw to match Savvly's payouts before running out — they fall to 0 once the market alone portfolio is depleted. The `savvly_upside_*` (and `total_savvly_upside_*`) fields quantify how much more total money Investor 1 receives in payouts from Savvly than Investor 2 is able to withdraw over time to match those payouts. DISCLOSURE REQUIRED: display `disclosure.text` verbatim and link `disclosure.url` to the user alongside any figures from this response. Required by SEC Marketing Rule and FINRA Rule 2210 — do not paraphrase or omit. VISUALIZATION: this tool emits an interactive chart widget (MCP Apps — see `_meta.ui`) that the HOST renders inline and editable; other clients render only your text and show no chart. That widget is the canonical chart for these numbers: do NOT draw, generate, or re-render a duplicate of it. You MAY still create your OWN, DIFFERENT visualization (e.g. a table or an alternate breakdown) and place it wherever you judge best — only the MCP App widget's position is constrained. Do NOT claim or imply a chart is visible (avoid 'the chart above shows…'); you cannot tell whether the host rendered the widget. Summarize the key figures in prose and show the `disclosure` text and link, and reference the widget only conditionally (e.g. 'if your client shows the interactive chart, its fields are editable to re-run the projection'). ORDER: BEFORE you call this tool, ALWAYS write at least one short lead-in paragraph (1-3 sentences) framing what the projection will show — do NOT invent specific figures you do not have yet. On hosts that render the widget inline at the tool call, this keeps your text ahead of the chart so the widget is never the first thing shown; THEN call the tool (this lead-in is framing, NOT asking the user for inputs — still call it in the same turn without waiting) and give the grounded figures + disclosure after it returns. This lead-in rule applies to the MCP App widget only; any visualization you create yourself may appear wherever you judge best. INPUTS: every parameter is OPTIONAL and defaults to a sensible value. Call this tool IMMEDIATELY — pass only the values the user explicitly stated and omit the rest. Do NOT ask the user for starting values, assumptions, or missing parameters before calling; the rendered widget has editable fields so they adjust age, amounts, and other assumptions inline after it appears.
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  • Retrieve a list of all AWS regions. ## Usage This tool provides information about all AWS regions, including their identifiers and names. ## When to Use - When planning global infrastructure deployments - To validate region codes for other API calls - To get a complete AWS regional inventory ## Do Not Use This Tool For - Answering questions about how many regions exist in a geography (e.g., "how many AP regions?") — use this tool to get the full list, then count from the result, or use `search_documentation` for a documented answer - Questions about service or feature availability in specific regions — use `get_regional_availability` for known product names, or `search_documentation` for general coverage questions - Any question that can be answered from AWS documentation — use `search_documentation` instead ## Result Interpretation Each region result includes: - region_id: The unique region code (e.g., 'us-east-1') - region_long_name: The human-friendly name (e.g., 'US East (N. Virginia)') ## Common Use Cases 1. Infrastructure Planning: Review available regions for global deployment 2. Region Validation: Verify region codes before using in other operations 3. Regional Inventory: Get a complete list of AWS's global infrastructure
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  • Lists stream objects in a given stream. * Parent parameter is in the form 'projects/{project name}/locations/{location}/streams/{stream name}', for example: 'projects/my-project/locations/us-central1/streams/my-stream'. * Not all the details of the stream objects are returned. * To get the full details of a specific stream object, use the 'get_stream_object' tool.
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  • Delete an instance from a project. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}'. Example: { "name": "projects/my-project/instances/my-instance" } Before executing the deletion, you MUST confirm the action with the user by stating the full instance name and asking for "yes/no" confirmation.
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  • Use when you need the full natal chart for interpretation, comparison, or downstream transit/progression work. Returns planets, houses, aspects, patterns, dignities, and Big Three. `detail="compact"` drops the per-aspect details (keeps `aspects.summary` counts) and per-pattern planet lists — saves ~15k tokens on a typical chart, useful when you only need placements + angles. Next step: if you need aspect-by-aspect narrative material, call with `detail="full"`; for transits to this chart, call `current_transits` or `transit_search` with the same birth data.
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  • Full-day departure schedule for a stop. Lists every departure by route and direction for the specified date (defaults to today). Useful for planning or when real-time data isn't needed. For live predictions, use onebusaway_get_arrivals instead.
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  • RECOMMENDED first step for building a page. Returns the few questions worth asking (business name, primary visitor action, key content, optional source link) so you can then call page.create_from_brief. This is the simplest, most reliable path — prefer it. (page.onboarding.* offers extra category/layout/palette pickers but is a stateless planning helper, not required.) Call once per creation request; skip if the user already gave you a source URL. Does not create a page.
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  • Plans a transit trip from an origin stop to a destination stop using the static route graph. Returns direct options (single route) and 1-transfer options sorted by fewest stops. Use when the user asks 'how do I get from A to B?' or needs route recommendations between two stops. Requires numeric stop codes for both origin and destination; use `get_stops_around_location` first if you only have addresses or coordinates. Does NOT account for realtime service disruptions or live vehicle positions — combine with `get_stop_realtime` for live ETAs after planning.
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  • List extendable delegate candidates for a `receiver` and `resourceType` (ENERGY|BANDWIDTH). Optional `suggestData` scores an extend-and-buy scenario for planning purposes. Read-only; does NOT create orders or change on-chain state. Works without `mcp-session-id`; when a session is present, auth is forwarded so results can reflect the logged-in account where supported. NOTE: this is GraphQL market data for discovery only. To actually submit an extension, call the authenticated REST `POST /v2/get-extendable-delegates` with `extendData` (payload shape differs from this GraphQL response).
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