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search_places

Read-onlyIdempotent

Search verified venues (read-only). Filter by text, city, kind (a topic such as vineyards, tasting-rooms, wine-bars, wine-restaurants, wine-retailers, distilleries, or a group: visit, drink, buy, do), cuisine, dietary, price tier, opening time, or near a coordinate. Results are ranked by relevance then editorial score and carry provenance (source URL, checked_on, open_status), hours, a page URL to cite and a tracked booking link where one exists. Returns at most limit items; an unknown city returns {did_you_mean: [...]} instead of a list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity slug or name, e.g. 'burgenland' or 'New York City'. Unknown cities answer with did_you_mean.
kindNoA topic slug (vineyards, tasting-rooms, wine-bars, wine-restaurants, wine-retailers, distilleries...) or a group: visit, drink, buy, do.
nearNo'lat,lng' to search around a point; results then sort by distance.
limitNoMaximum results (1-100).
queryNoFree text: a venue name, dish, cuisine, neighbourhood or theme.
offsetNoSkip this many results, for paging.
countryNoCountry slug or name, e.g. 'italy'. Optional where city is given.
cuisineNoCuisine slug or name, e.g. 'sichuan', 'neapolitan pizza'.
dietaryNovegan, vegetarian, gluten-free, halal, kosher...
open_atNo'now', a weekday and time such as 'sunday 10:00', or an ISO datetime (UTC). Venues with unparseable hours are returned last, flagged.
radius_kmNoRadius for near, in km.
price_tierNoThe site's tier symbols for the country, e.g. '€€' or '$$$'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / limit / minimum
      Added value: +1
    • addedInput schema / properties / offset / minimum
      Added value: +0
  2. Changed12 schema fields changed
    • addedInput schema / properties / city / description
      Added value: +"City slug or name, e.g. 'burgenland' or 'New York City'. Unknown cities answer with did_you_mean."
    • addedInput schema / properties / country / description
      Added value: +"Country slug or name, e.g. 'italy'. Optional where city is given."
    • addedInput schema / properties / cuisine / description
      Added value: +"Cuisine slug or name, e.g. 'sichuan', 'neapolitan pizza'."
    • addedInput schema / properties / dietary / description
      Added value: +"vegan, vegetarian, gluten-free, halal, kosher..."
    • addedInput schema / properties / kind / description
      Added value: +"A topic slug (vineyards, tasting-rooms, wine-bars, wine-restaurants, wine-retailers, distilleries...) or a group: visit, drink, buy, do."
    • addedInput schema / properties / limit / description
      Added value: +"Maximum results (1-100)."
    • addedInput schema / properties / near / description
      Added value: +"'lat,lng' to search around a point; results then sort by distance."
    • addedInput schema / properties / offset / description
      Added value: +"Skip this many results, for paging."
    • addedInput schema / properties / open_at / description
      Added value: +"'now', a weekday and time such as 'sunday 10:00', or an ISO datetime (UTC). Venues with unparseable hours are returned last, flagged."
    • addedInput schema / properties / price_tier / description
      Added value: +"The site's tier symbols for the country, e.g. '€€' or '$$$'."
    • addedInput schema / properties / query / description
      Added value: +"Free text: a venue name, dish, cuisine, neighbourhood or theme."
    • addedInput schema / properties / radius_km / description
      Added value: +"Radius for near, in km."
  3. Changed3 schema fields changed
    • addedInput schema / properties / dietary
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Dietary"
      +}
    • addedInput schema / properties / open_at
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Open At"
      +}
    • addedInput schema / properties / price_tier
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Price Tier"
      +}
  4. First observed

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare read-only/idempotent/non-destructive, and the description goes well beyond them: it discloses the ranking order (relevance then editorial score), the provenance payload (source URL, checked_on, open_status), hours, a citable page URL and tracked booking link, the `limit` cap, and the degraded `{did_you_mean: [...]}` response for unknown cities. That is unusually rich behavior for a search tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the core verb and the read-only caveat before the filter enumeration. The long filter list is dense but purposeful; the only mild redundancy is restating filterable fields that the schema already names.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter, zero-required search tool with an output schema, the description covers everything an agent needs: scope, filter vocabulary, ranking, pagination cap, and the error-shape fallback. The output schema handles return structure, so nothing material is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema carries the parameter definitions and a baseline of 3 applies. The description adds genuine semantic value on top: it clarifies that `kind` accepts either topic slugs or the groups visit/drink/buy/do, and that `near` implies distance sorting, both of which go beyond the raw field descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Search verified venues') and immediately scopes it as read-only, then enumerates the filterable dimensions (text, city, kind, cuisine, dietary, price tier, opening time, coordinates). This distinguishes it from detail-oriented siblings like `place` and the narrower `cities`/`dishes` tools without needing to open any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The filter list makes the intended use case (faceted venue discovery) clear, and the did_you_mean fallback tells the agent how to react to a bad city input. However, no sibling is named as an alternative for single-venue lookups (e.g. `place`), so the routing guidance is implicit rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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