Skip to main content
Glama

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
    • addedOutput schema / properties / results / items / properties / place_note
      Added value: +{
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
  2. 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)."
  3. 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"
      +}
  4. Changed1 schema field changed
    • changedOutput schema / properties / results / items / properties / coverage_level / enum
      Previous value: -[
      -  "full",
      -  "basic"
      -]New value: +[
      +  "full",
      +  "basic",
      +  "none"
      +]
  5. 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"
      +  ]
      +}
  6. Changed2 schema fields changed
    • addedOutput schema / properties / message
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / total_matches
      Added value: +{
      +  "type": "number"
      +}
  7. 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"
      +}
  8. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly, non-destructive). The description adds a genuinely useful behavioral detail not in any structured field: the coverage_level values and what 'basic' vs 'none' means for what the caller receives. That is exactly the kind of context annotations don't carry.

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 purpose and result format. Each sentence adds something (purpose, ID handoff, disambiguation, coverage levels), though the coverage_level taxonomy is dense and could be slightly tightened.

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?

An output schema exists, so return-value explanation is not required. Between the description and the annotation set, an agent has enough to call the tool and interpret coverage_level. The missing piece is explicit routing against the other discovery siblings.

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% and the schema already documents city, name, and limit thoroughly. The description's only added hint is 'use the city parameter to disambiguate common names', which is largely redundant with the schema's own city guidance. Baseline 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?

States a specific verb+resource ('Find restaurants by name') and clarifies it returns IDs rather than full details, which is the key distinction from lookup_restaurant. However, it does not differentiate itself from search_restaurants or explore_area, two siblings that plausibly also find restaurants.

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?

Provides clear context: use city to disambiguate common names, and pass IDs to lookup_restaurant for full details. This sequences the tool relative to a sibling. But it offers no guidance on when to prefer search_restaurants or explore_area over this tool, so the routing picture is incomplete.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources