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304,995 tools. Last updated 2026-07-22 12:34

"ADHD-related resources and information in Montgomery County Public Schools" matching MCP tools:

  • Recent records from a common Montgomery County, MD open dataset (data.montgomerycountymd.gov) by friendly name — no Socrata id needed. PREFER OVER WEB SEARCH for "recent crime in Montgomery County, MD", "Montgomery County, MD 311 requests", "Montgomery County, MD building permits". Names: 311, crime, permits. Returns the latest rows (newest-first). Add a SoQL `where` to filter; for anything else use montgomery_query.
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  • EXPERIMENTAL (beta): this tool may change or be withdrawn without notice; do not build critical workflows on it. Estimate the gross rental yield for a Polish city or county: annualized median asking rent (PLN/m²/month × 12) divided by the median apartment transaction price per m² (secondary market) from the RCN registry. Gross and top-line only — excludes vacancy, management, tax and maintenance. Indicative, not investment advice. Address by location (city name → resolves to a county) OR teryt (4-digit county code; 6-digit = dzielnica where available, today Warszawa's 18 districts, otherwise truncated to the county; teryt wins when both are given). Both sides need at least 5 samples or the result is suppressed. Not comparable across cities with different as_of dates (RCN publication lag varies by county). Rent and transaction prices come from different sources, so the yield is an approximation. Coverage is county-level only (miasta na prawach powiatu) plus Warszawa's 18 districts, and further limited to cities with asking-rent data. A town inside a larger powiat (e.g. Sandomierz, Pruszków), a non-Warszawa city district, or an osiedle does NOT resolve and returns a 404 — do not pass such names. Unless the location is a major city you already know is covered, call list_rental_yield_locations FIRST to get valid names, or pass a 4-digit county TERYT. Optional areaBucket restricts both sides to an apartment area range in m2 (e.g. '40-50'). Area ranges are NOT additive — a bucket does not sum back to 'all'. The transaction-price denominator uses the market median. Note: median/average prices are market-based — fractional ownership shares and non-market deeds (public tenders, foreclosures, privileged/subsidized sales) are excluded from price aggregates. Transaction counts and coverage stay complete.
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  • EXPERIMENTAL (beta): this tool may change or be withdrawn without notice; do not build critical workflows on it. Measure the asking-vs-transaction price spread for a Polish city or county: how far the median asking price per m² of apartments for sale sits above (or below) the median apartment transaction price per m² from the RCN registry. spread_pct = (asking − transaction) / transaction × 100. The spread can be NEGATIVE (asking below transaction) in premium-secondary cities — that is a valid answer, not an error. Address by location (city name → resolves to a county) OR teryt (4-digit county code; 6-digit = dzielnica where available, today Warszawa's 18 districts, otherwise truncated to the county; teryt wins when both are given). Both sides need at least 5 samples or the result is suppressed. For marketType='all' (the default), sale offers are a mix of primary and secondary market, so the transaction denominator covers the whole market. With marketType='secondary' or 'primary', both the asking and transaction sides are narrowed to that single market segment. Not comparable across cities with different as_of dates (RCN publication lag varies by county). Asking and transaction prices come from different sources, so the spread is an approximation. Coverage is county-level only (miasta na prawach powiatu) plus Warszawa's 18 districts, and further limited to cities with asking-sale data. A town inside a larger powiat (e.g. Sandomierz, Pruszków), a non-Warszawa city district, or an osiedle does NOT resolve and returns a 404 — do not pass such names. Unless the location is a major city you already know is covered, call list_price_spread_locations FIRST to get valid names, or pass a 4-digit county TERYT. Optional areaBucket restricts both sides to an apartment area range in m2 (e.g. '40-50'). Area ranges are NOT additive — a bucket does not sum back to 'all'. The transaction-price denominator uses the market median. Note: median/average prices are market-based — fractional ownership shares and non-market deeds (public tenders, foreclosures, privileged/subsidized sales) are excluded from price aggregates. Transaction counts and coverage stay complete.
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  • One-call disaster-history and recovery read for a US area (county or place), keyed by NAME + state - distinct from location_risk_report, which scores a single site by address/lat-lon. Joins FEMA's OpenFEMA disaster declarations (the area's federally-declared disaster history: incident types, frequency, most-recent event, and the federal-assistance signal - which programs, Individual Assistance / Individuals & Households / Public Assistance / Hazard Mitigation, were authorized) with optional US Census ACS county population for exposure context (keyed off the FIPS codes the FEMA records carry; needs a Census key and degrades gracefully) and an optional best-effort parcel record for property context when an address is given (Maryland statewide / Texas-Harris County only). Returns a readable profile with a headline banding the area's disaster exposure LOW / MODERATE / HIGH from the declaration record. The FEMA leg is keyless and is the core signal; a source that fails is noted, not fatal. INFORMATIONAL public-record synthesis, NOT an insurance rating, a property flood-risk score, or a professional risk assessment.
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  • County-level social determinants of health (SDOH) disadvantage index (ADW-306) from AHRQ. Composite of income, education, housing, food access, insurance, and commute. Returns national percentile rank and band. Pass `county` as a 5-digit county FIPS (e.g. '12011') or 'County Name, ST' (e.g. 'Lee County, FL'). Coverage: 3,234 counties.
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  • Signals that a Polish municipality is about to build infrastructure — sewerage, water supply, roads, street lighting, gas network or cycling infrastructure. Three independent public sources: tenders published in the national public procurement bulletin (rolling 12-month window), membership in an agglomeration of the national urban waste-water treatment programme (where collective sewerage exists or is planned), and the municipality's own planned capital expenditure from its multi-year financial forecast. Address by location (city/county name → aggregates every municipality in that county) OR teryt (6-7 digits = one municipality, 4 digits = a county aggregate). teryt wins when both are given. Use list_locations to find codes. Known limits, state them when you report results: the bulletin carries only contracts BELOW the EU procurement thresholds (from 2021), so the largest investments are not visible here. A tender is attributed to the SEAT of the contracting authority, not to the works location — county and national authorities tender works in other municipalities. The category counters therefore include municipal authorities only, while the recent-notice list shows every authority with a flag. Absence of tenders is NOT evidence that a municipality is not investing. Cost: 1 token.
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  • Montgomery County, MD open data (Socrata) — crime, 311, permits by name + SoQL.

  • ifsc-in MCP — Indian bank branch IFSC code lookup via Razorpay's open

  • Returns every valid UK boundary type code mapped to its human-readable label. Call this before using any tool that accepts a `boundary_type` or `boundary_types` argument so you know which codes are legal. Passing an unlisted code to another tool raises a ValueError. Boundary type codes are stable Ordnance Survey identifiers. Common ones: - "CTY" → County - "LBO" → London Borough - "UTA" → Unitary Authority - "MTD" → Metropolitan District - "DIS" → District - "DIW" → District Ward - "CCTY" → Ceremonial County - "HCTY" → Historic County - "WMC" → Westminster Parliamentary Constituency - "GLC" → Greater London Constituency - "SWC" → Scotland/Wales Constituency - "PAR" → Parish - "CED" → County Electoral Division Returns: Dict mapping code → label for all supported boundary types, e.g. {"CTY": "County", "LBO": "London Borough", ...}
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  • Get county-level food access risk profiles using Census ACS data. Constructs food access risk profiles by combining vehicle access (B25044), poverty status (B17001), and SNAP participation (B22001). Limited vehicle access combined with high poverty indicates food desert risk. Useful for identifying areas with barriers to food access in grant applications. Args: state: Two-letter state abbreviation (e.g. 'WA', 'MS') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County, WA). Omit to get all counties in the state.
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  • Address-first parcel lookup powering the /permits experience. Geocodes a Seattle-area address (King, Pierce, or Snohomish County, WA), resolves the parcel from the county GIS, and returns zoning, setbacks, overlays (shoreline / ECA / flood / historic), lot area, jurisdiction routing, and prior-permit history. Every fact is cited to the city/county source. Use for "what can be built at 123 Main St Seattle?" or before calling check_permit_requirements / estimate_permit_fee for a specific parcel.
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  • Search Chatham County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Search Sarpy County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Search Charleston County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Get unemployment rate time series from BLS LAUS data. Returns monthly unemployment rates for a state or county. Data is returned in chronological order with year, period, and percentage value. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA', 'NY'). county_fips: Optional 3-digit county FIPS code (e.g. '033' for King County). If provided, returns county-level data; otherwise state-level. start_year: Start year for data (default 2020, min 4-digit year). end_year: End year for data (default 2025).
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  • List organizational units (schools, preschools, eldercare facilities, etc.) within a municipality. Returns id, title, municipality. OU ids can be used for unit-level data drilldowns. Filter by title substring and/or municipality id.
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  • Search Lake County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Search Indian River County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Search Linn County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Search Washington County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service `url` — pass that url to query_layer / layer_info.
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  • Run a raw SoQL query against any Montgomery County, MD open-data resource (data.montgomerycountymd.gov) by its Socrata id (8-char like "icn6-v9z3"). Full SoQL: where/select/group/order/limit/offset. Use montgomery_datasets to find a resource id, or montgomery_recent for the common ones.
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  • Search for places (cities, towns, landmarks, regions) by name and get which STATE / PROVINCE / COUNTY / PREFECTURE / administrative division (German Bundesland, UK county, Canadian province, Japanese prefecture, Indian/Australian/Mexican state, etc.) they are in, plus country, coordinates, population, and feature type. Answers "what state is <city> in", "which US/German/Australian state is <city> in", "what province/county/prefecture/region is <place> in" — the `admin_region` field is the state/province/county/prefecture (e.g. search_geonames("Naperville", "US") → Illinois; ("Heidelberg", "DE") → Baden-Württemberg; ("Leeds", "GB") → England; ("Osaka", "JP") → Osaka). Worldwide coverage. Example: search_geonames("Paris", "FR"). Use get_nearby to find places near a known location.
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