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Search Restaurants

search_restaurants

Find restaurants in your dining vault by keyword, city, cuisine, status, vibe tag, or minimum rating.

Instructions

Search dining vault by keyword, city, cuisine, status, or vibe tag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity filter (e.g. 'Tokyo', 'London', 'Paris').
vibeNoAtmospheric tag (e.g. 'omakase', 'romantic', 'casual').
limitNoMax results. Defaults to 5.
queryNoKeyword query matching name, neighborhood, or dishes.
statusNo'visited' or 'wishlist'.
cuisineNoCuisine category (e.g. 'Japanese', 'French', 'Seafood').
min_ratingNoMinimum rating (1.0 to 10.0).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing beyond the facets already in the schema. It does not state that the operation is read-only, how filters combine, how an empty query behaves, or what result ordering/limits apply.

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?

A single front-loaded sentence naming the action and the facet set, with no filler or redundancy.

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

Completeness3/5

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

With 7 optional parameters, full schema coverage, and an output schema that handles return values, the one-line description is minimally adequate. It still omits how the filters combine and confirms nothing about the default empty query, which an agent would benefit from knowing.

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%, so every parameter (city, vibe, limit, query, status, cuisine, min_rating) is already documented in the schema. The description only restates a subset of those facets and adds no format or interaction details, so the baseline 3 applies.

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?

States a specific verb (Search) and resource (dining vault) and enumerates the filter facets (keyword, city, cuisine, status, vibe tag), so the agent knows exactly what it retrieves. It does not, however, differentiate itself from sibling search tools like search_vault or search_sensory_vault.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance and no mention of alternatives, even though several sibling search_* tools exist. Usage is only implied by the resource name.

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