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get_date_night

Read-onlyIdempotent

Use this when the user wants an evening for two. Returns a flat ranked list of experiences (search rows) with romantic-tagged rows promoted and out-of-season products dropped, not a structured pre-dinner/dinner/show arc. Promotion is a re-rank, not a filter, so rows are not guaranteed couples-only. date selects which season counts as current; budget is accepted but NOT yet applied. Compose the evening yourself (search_by_mood with mood 'romantic' can bias the pool further).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity slug.
dateNoOptional ISO date (YYYY-MM-DD).
budgetNoBudget band. 'low' = under 100 per person, 'medium' = 100-200, 'high' = 200+. In the listed currency.
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.

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

A4.9/5.0
Behavior5/5

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

Annotations already mark the tool as read-only and idempotent, and the description adds important behavioral nuance: romantic-tagged rows are promoted rather than filtered, out-of-season products are dropped, and budget has no effect yet. This goes well beyond the structured annotations.

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?

Every sentence carries information: use case, return shape, ranking behavior, parameter caveats, and a pointer to an alternative. The key behavioral warnings are front-loaded and no filler is present.

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?

Given the rich input schema, output schema presence, and annotations, the description covers all essential behavioral and selection context. An agent can correctly decide when to call it, what to expect, and which caveats to communicate to the user.

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 already documents all five parameters. The description adds crucial meaning for date and budget: date determines the current season, and budget is accepted but not yet applied — valuable caveats an agent cannot infer from the schema alone.

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 trigger ('wants an evening for two'), the exact resource (experiences/search rows), and the shape of the result (flat ranked list, not a structured arc). This clearly distinguishes it from related tools like get_family_day and search_by_mood.

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

Usage Guidelines5/5

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

Opens with an explicit when-to-use condition and explains what the tool does not provide ('not a structured pre-dinner/dinner/show arc'). It also names an alternative (search_by_mood) and notes that budget is accepted but not yet applied, which prevents misuse.

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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