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get_hidden_gems

Read-onlyIdempotent

Use this when the user wants lower-profile options rather than headline bestsellers. Excludes Bestseller, hop-on-hop-off, and CityPass tagged products and prefers highly rated rows with fewer reviews; falls back to the standard ranked list when a city has too few qualifying rows (results may then overlap with headline search).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity slug.
formatNoResponse shape. 'json' returns structured records; 'text' returns the same content rendered as a short narrative paragraph for chat surfaces.json
languageNoBCP-47 language code for human-readable fields (e.g., 'en', 'fr-FR'). Defaults to English when omitted.
max_resultsNoDefault 5, max 20.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNo
messageNo
resultsNo
error_typeNo
paginationNo
request_idNo
experiencesNo
_normalizationNo
schema_versionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "_normalization": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "detail": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "error_type": {
      +      "type": "string"
      +    },
      +    "experiences": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "booking_url": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "category": {
      +            "type": "string"
      +          },
      +          "city": {
      +            "type": "string"
      +          },
      +          "description": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "image_url": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "price": {
      +            "additionalProperties": true,
      +            "properties": {
      +              "amount_minor": {
      +                "type": "integer"
      +              },
      +              "currency": {
      +                "type": "string"
      +              },
      +              "display": {
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "product_id": {
      +            "description": "Stable experience identifier for detail, availability, related-experience, and card-rendering calls.",
      +            "type": "string"
      +          },
      +          "rating": {
      +            "type": [
      +              "number",
      +              "null"
      +            ]
      +          },
      +          "review_count": {
      +            "type": [
      +              "integer",
      +              "null"
      +            ]
      +          },
      +          "slug": {
      +            "type": "string"
      +          },
      +          "tags": {
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "venue": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "product_id",
      +          "name"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "pagination": {
      +      "additionalProperties": true,
      +      "properties": {
      +        "limit": {
      +          "type": "integer"
      +        },
      +        "offset": {
      +          "type": "integer"
      +        },
      +        "total": {
      +          "type": "integer"
      +        }
      +      },
      +      "type": "object"
      +    },
      +    "request_id": {
      +      "type": "string"
      +    },
      +    "results": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "booking_url": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "category": {
      +            "type": "string"
      +          },
      +          "city": {
      +            "type": "string"
      +          },
      +          "description": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "image_url": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "price": {
      +            "additionalProperties": true,
      +            "properties": {
      +              "amount_minor": {
      +                "type": "integer"
      +              },
      +              "currency": {
      +                "type": "string"
      +              },
      +              "display": {
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "product_id": {
      +            "description": "Stable experience identifier for detail, availability, related-experience, and card-rendering calls.",
      +            "type": "string"
      +          },
      +          "rating": {
      +            "type": [
      +              "number",
      +              "null"
      +            ]
      +          },
      +          "review_count": {
      +            "type": [
      +              "integer",
      +              "null"
      +            ]
      +          },
      +          "slug": {
      +            "type": "string"
      +          },
      +          "tags": {
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "venue": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "product_id",
      +          "name"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "schema_version": {
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. Added

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context beyond annotations: the filtering rules, the preference for highly rated rows with fewer reviews, and the fallback to the standard ranked list with possible overlap. This is exactly the kind of non-obvious behavior an agent needs to know.

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

Conciseness5/5

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

Two tightly constructed sentences: the first fronts the primary use case, the second packs the filtering logic, ranking preference, fallback behavior, and overlap caveat. Every sentence earns its place with no filler or repetition of schema/annotation info.

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 filtered-list tool with output schema present, the description covers the trigger, selection criteria, exclusions, fallback, and a caveat about potential overlap with headline search. Safety is covered by annotations, parameter semantics are covered by the input schema, and return shape is covered by the output schema. Nothing essential is missing.

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

Parameters3/5

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

Schema description coverage is 100%, with all four parameters (city, format, language, max_results) documented including defaults and constraints. The description adds no parameter-specific detail, but the schema already carries that burden, so the baseline of 3 is appropriate.

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

Purpose4/5

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

The description clearly identifies the tool as returning lower-profile, non-bestseller options with specific exclusions (Bestseller, hop-on-hop-off, CityPass) and a preference for highly rated, low-review-count rows. It avoids tautology and gives concrete selection criteria, but it does not explicitly name or differentiate against a sibling tool, relying instead on the comparison to 'headline bestsellers'.

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 first sentence gives an explicit trigger condition: use when the user wants lower-profile options rather than headline bestsellers. It also discloses the fallback behavior when qualifying rows are too few. However, it does not state when NOT to use this tool or mention alternatives like recommend_experiences or search_experiences by name.

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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