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Seemor Restaurant Intelligence

Find Restaurant

find_restaurant
Read-onlyIdempotent

Find restaurants by name. Returns matching restaurants with their Seemor IDs, which can be passed to lookup_restaurant for full details. Use the city parameter to disambiguate common names. Each result reports coverage_level: 'full' (letter grade), 'basic' (preliminary read: grade null, preliminary_band, tldr, caveat) or 'none' (no analysis yet).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity to narrow the search, in English or the local language ('Vienna' or 'Wien', 'Prague' or 'Praha', 'Montréal'). A neighborhood or region also works. Whenever the conversation shows which place is meant, include its state or country ('Vienna, Virginia'), so a shared name needs no guess. Recommended when the name is common. The result says which place was used (place) and lists other places with the same name (other_places).
nameYesRestaurant name to search for (partial matches work). Example: 'Barrafina', 'Pizza Pilgrims', 'Noma'.
limitNoMaximum results to return (1-20, default 5).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
placeNo
statusNo
messageNo
resultsNo
place_noteNo
other_placesNo
total_matchesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / city / description
      Previous value: -"City to narrow the search, in English or the local language ('Vienna' or 'Wien', 'Prague' or 'Praha', 'Montréal'). A neighborhood or region also works. Add a qualifier when a name is shared ('Vienna, Virginia'). Recommended when the name is common. The result says which place was used (place) and lists other places with the same name (other_places)."New value: +"City to narrow the search, in English or the local language ('Vienna' or 'Wien', 'Prague' or 'Praha', 'Montréal'). A neighborhood or region also works. Whenever the conversation shows which place is meant, include its state or country ('Vienna, Virginia'), so a shared name needs no guess. Recommended when the name is common. The result says which place was used (place) and lists other places with the same name (other_places)."
  2. Changed4 schema fields changed
    • changedInput schema / properties / city / description
      Previous value: -"City to narrow the search. Example: 'London', 'New York', 'Rome'. Recommended when the name is common."New value: +"City to narrow the search, in English or the local language ('Vienna' or 'Wien', 'Prague' or 'Praha', 'Montréal'). A neighborhood or region also works. Add a qualifier when a name is shared ('Vienna, Virginia'). Recommended when the name is common. The result says which place was used (place) and lists other places with the same name (other_places)."
    • addedOutput schema / properties / other_places
      Added value: +{
      +  "items": {
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / place
      Added value: +{
      +  "type": "object"
      +}
    • addedOutput schema / properties / place_note
      Added value: +{
      +  "type": "string"
      +}
  3. Changed1 schema field changed
    • changedOutput schema / properties / results / items / properties / coverage_level / enum
      Previous value: -[
      -  "full",
      -  "basic"
      -]New value: +[
      +  "full",
      +  "basic",
      +  "none"
      +]
  4. Changed10 schema fields changed
    • changedOutput schema / properties / results / items / properties / address / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "null"
      +]
    • addedOutput schema / properties / results / items / properties / caveats
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • changedOutput schema / properties / results / items / properties / city / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "null"
      +]
    • addedOutput schema / properties / results / items / properties / coverage_level / enum
      Added value: +[
      +  "full",
      +  "basic"
      +]
    • addedOutput schema / properties / results / items / properties / distance_km
      Added value: +{
      +  "type": [
      +    "number",
      +    "null"
      +  ]
      +}
    • changedOutput schema / properties / results / items / properties / grade / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "null"
      +]
    • changedOutput schema / properties / results / items / properties / neighborhood / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "null"
      +]
    • addedOutput schema / properties / results / items / properties / preliminary_band
      Added value: +{
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
    • addedOutput schema / properties / results / items / properties / price_level
      Added value: +{
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
    • addedOutput schema / properties / results / items / properties / tldr
      Added value: +{
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
  5. Changed2 schema fields changed
    • addedOutput schema / properties / message
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / total_matches
      Added value: +{
      +  "type": "number"
      +}
  6. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "results": {
      +      "items": {
      +        "properties": {
      +          "address": {
      +            "type": "string"
      +          },
      +          "city": {
      +            "type": "string"
      +          },
      +          "coverage_level": {
      +            "type": "string"
      +          },
      +          "cuisine_tags": {
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "grade": {
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "neighborhood": {
      +            "type": "string"
      +          },
      +          "seemor_id": {
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "status": {
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  7. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description does not need to restate safety. It adds useful behavioral details about the return value (Seemor IDs) and the coverage_level field with its possible values and meanings, which goes beyond the schema. No contradiction with 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?

The description is three sentences with no redundant information. It front-loads the purpose and then provides parameter guidance and output explanation. Every sentence earns its place.

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

Completeness4/5

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

The tool has a simple purpose, and the description covers the main behavior (search by name, return IDs and coverage), parameter usage (city disambiguation), and the relationship to lookup_restaurant. Since an output schema exists, the description does not need to enumerate return fields. Missing details like pagination limits are handled by the limit parameter schema. Overall, it is complete for the agent's needs.

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 description coverage is 100%, so the baseline is 3. The description adds value by explaining the purpose of the city parameter for disambiguation and describing the output fields (coverage_level). It goes slightly beyond the schema without duplicating it, so a 4 is appropriate.

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?

The description states a specific verb ('find') and resource ('restaurants by name'), and clarifies that it returns Seemor IDs and coverage_level, which distinguishes it from lookup_restaurant (full details). This clearly communicates the tool's purpose and differentiates from at least one sibling.

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

Usage Guidelines3/5

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

The description provides a clear use case (finding by name, disambiguating with city) and references lookup_restaurant as a next step for full details, but it does not explicitly say when to use this tool vs search_restaurants or other siblings. The guidance is implied rather than explicit exclusions.

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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