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List places with shops

list_places
Read-only

Countries, regions, cities and neighbourhoods that have shops on Pinmade, with how many.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_places"
  }
}

Input Schema

NameRequiredDescriptionDefault
countryNoTwo-letter country code, e.g. 'JP'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description contributes the useful detail that each entry carries a shop count, which is behavioral context not present in any structured field. It says nothing about ordering, pagination, or whether the geography levels are returned flat or nested, which is the main remaining gap.

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?

One compact sentence with no wasted words, and the key resource information comes first. It reads as a fragment rather than a directive, which slightly weakens front-loading of the action.

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?

For a simple read-only listing tool with full schema coverage and safety annotations, most of what an agent needs is present, including a hint at the returned counts. The lack of any note on hierarchy structure, result size, or how the optional country filter interacts with the output leaves meaningful ambiguity.

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 coverage is 100% and the single country parameter already documents its two-letter format with an example. The description adds no filtering semantics beyond what the schema provides, 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?

The description names the exact resource set (countries, regions, cities, neighbourhoods) and adds the payload detail 'with how many', so an agent knows what the tool returns. It is not phrased as a verb and does not mention the sibling tools, but the resource is different enough from get_shop and search_shops that confusion is unlikely.

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 guidance on when to call this versus get_shop or search_shops, no mention of prerequisites, and no indication that the optional country parameter can be used to narrow results. An agent must infer the discovery use case from the description alone.

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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