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Points of Interest

pois
Read-onlyIdempotent

Get points of interest in a German city, filtered by type.

Sourced from OpenStreetMap. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesCity identifier, e.g. 'berlin' or 'hamburg'. Resolved leniently: the German name with or without umlauts, any casing, a common English exonym or short form also works (München/munich/munchen -> muenchen, cologne -> koeln, frankfurt -> frankfurt-am-main). An unknown name returns 404 with a 'Meintest du ...?' suggestion. list_cities gives the canonical slugs.
typeYesPOI type from the API allowlist, one of: hospital, school, pharmacy, restaurant, police, kindergarten.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedOutput schema / $defs / ToolMeta / properties / note
      Added value: +{
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • changedInput schema / properties / slug / description
      Previous value: -"City slug from the list_cities tool, e.g. 'berlin' or 'hamburg'."New value: +"City identifier, e.g. 'berlin' or 'hamburg'. Resolved leniently: the German name with or without umlauts, any casing, a common English exonym or short form also works (München/munich/munchen -> muenchen, cologne -> koeln, frankfurt -> frankfurt-am-main). An unknown name returns 404 with a 'Meintest du ...?' suggestion. list_cities gives the canonical slugs."
  3. Changed13 schema fields changed
    • removedInput schema / properties / slug / title
      Removed value: -"Slug"
    • removedInput schema / properties / type / title
      Removed value: -"Type"
    • removedInput schema / title
      Removed value: -"poisArguments"
    • removedOutput schema / $defs / ToolMeta / description
      Removed value: -"Envelope-Metadaten: Quelle, Status, Cache, Lizenz und Attribution.\n\nZusatzfelder (z.B. ``covered_cities``, ``radius_m`` bei partieller Abdeckung)\nbleiben dank ``extra=\"allow\"`` erhalten."
    • removedOutput schema / $defs / ToolMeta / properties / attribution / title
      Removed value: -"Attribution"
    • removedOutput schema / $defs / ToolMeta / properties / cache_status / title
      Removed value: -"Cache Status"
    • removedOutput schema / $defs / ToolMeta / properties / correlation_id / title
      Removed value: -"Correlation Id"
    • removedOutput schema / $defs / ToolMeta / properties / license / title
      Removed value: -"License"
    • removedOutput schema / $defs / ToolMeta / properties / source / title
      Removed value: -"Source"
    • removedOutput schema / $defs / ToolMeta / properties / source_status / title
      Removed value: -"Source Status"
    • removedOutput schema / $defs / ToolMeta / title
      Removed value: -"ToolMeta"
    • removedOutput schema / properties / data / title
      Removed value: -"Data"
    • removedOutput schema / title
      Removed value: -"ToolEnvelope"
  4. Changed3 schema fields changed
    • addedInput schema / properties / slug / description
      Added value: +"City slug from the list_cities tool, e.g. 'berlin' or 'hamburg'."
    • addedInput schema / properties / type / description
      Added value: +"POI type from the API allowlist, one of: hospital, school, pharmacy, restaurant, police, kindergarten."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$defs": {
      +    "ToolMeta": {
      +      "additionalProperties": true,
      +      "description": "Envelope-Metadaten: Quelle, Status, Cache, Lizenz und Attribution.\n\nZusatzfelder (z.B. ``covered_cities``, ``radius_m`` bei partieller Abdeckung)\nbleiben dank ``extra=\"allow\"`` erhalten.",
      +      "properties": {
      +        "attribution": {
      +          "title": "Attribution",
      +          "type": "string"
      +        },
      +        "cache_status": {
      +          "title": "Cache Status",
      +          "type": "string"
      +        },
      +        "correlation_id": {
      +          "title": "Correlation Id",
      +          "type": "string"
      +        },
      +        "license": {
      +          "title": "License",
      +          "type": "string"
      +        },
      +        "source": {
      +          "title": "Source",
      +          "type": "string"
      +        },
      +        "source_status": {
      +          "title": "Source Status",
      +          "type": "string"
      +        }
      +      },
      +      "title": "ToolMeta",
      +      "type": "object"
      +    }
      +  },
      +  "properties": {
      +    "data": {
      +      "title": "Data"
      +    },
      +    "meta": {
      +      "$ref": "#/$defs/ToolMeta"
      +    }
      +  },
      +  "required": [
      +    "data",
      +    "meta"
      +  ],
      +  "title": "ToolEnvelope",
      +  "type": "object"
      +}
  5. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint as false, so the description only needs to add context. It adds 'Sourced from OpenStreetMap' and 'Read-only', which reinforces the non-destructive nature and provides data provenance. No contradictions 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 extremely concise with two short sentences plus a two-word sentence, all front-loaded with the core functionality. Every sentence provides essential information without redundancy or filler.

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?

Given the tool's simplicity (2 parameters, high schema coverage, clear annotations, and an output schema), the description is complete enough. It covers the main action, optional filtering, and data origin. One could argue it lacks explanation of the output format, but the presence of an output schema mitigates that need.

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 baseline is 3. The description adds meaning by explaining that 'slug' is resolved leniently (umlauts, exonyms) and mentions a helpful error suggestion, and that 'type' is from an API allowlist with examples – going beyond the schema's basic parameter descriptions.

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 states 'Get points of interest in a German city, filtered by type', specifying the verb 'get' with resource 'points of interest' and scoping to German cities with type filtering. It differentiates from siblings like 'get_city' and 'list_cities' by focusing on POIs, though it does not explicitly distinguish from other location-based tools.

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 context for when to use (getting POIs by city and type) but offers no guidance on when not to use it or alternatives. Sibling tools like 'compare' or 'sources' could serve different purposes, but no exclusions are mentioned.

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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TDQS

A4.1/5.0
Disambiguation3/5

Most tools have distinct purposes, but there is potential confusion between 'get_city_resource' and specific resource accessors like 'weather', 'air_quality', 'transit_departures', 'station_board_arrivals', and 'station_board_departures'. The descriptions do clarify that some specific tools exist for convenience or source-specific details, but the boundary isn't always sharp. Also, 'compare' could overlap with using 'get_city_resource' repeatedly. An agent might hesitate between using the generic resource accessor and the named tool.

Naming Consistency4/5

The naming convention is mostly consistent: verbs like 'get', 'list', 'compare', and 'pois' (abbreviation) are used. The pattern is generally 'verb_noun' (e.g., 'get_city', 'list_cities', 'station_board_arrivals'). Minor deviations include 'pois' being an acronym rather than a full verb phrase, and 'air_quality' vs 'weather' implying a noun rather than an action. But overall it's predictable and readable.

Tool Count5/5

12 tools is a well-scoped count for a city data platform. The function set covers discovery (list_cities, sources), overview (get_city_overview), base data (get_city), specific data types (weather, air_quality, transit_departures, station_board_*, pois), a generic accessor (get_city_resource), and a comparison tool (compare). Each tool feels necessary and the set is not overwhelming.

Completeness4/5

The tool surface is quite comprehensive for a read-only city information server. It provides discovery (list_cities, get_city_overview), base data, and access to 81 data types via get_city_resource. The named tools cover the most common queries (weather, air quality, transit). A minor gap is the lack of a tool to aggregate or search across cities (though 'compare' helps). Editing or write operations are not expected here, but for read-only, it's nearly complete.