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Get one shop

get_shop
Read-only

Full details of one Pinmade shop by its slug (the last part of its page address).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_shop"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYese.g. 'kakimori'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
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 and the description doesn't need to restate it. Beyond that it adds nothing behavioral — no mention of what happens with an unknown slug, whether the response is a single object, or any rate/permission considerations.

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?

A single sentence with no filler, front-loading what is returned before the lookup key. It is efficient, though the single flat clause leaves no room for a usage hint that would have cost only a few more words.

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 one-parameter read tool with full schema coverage and annotations, the definition is close to sufficient, and 'full details' gives a rough sense of the return payload despite there being no output schema. It is still thin on edge cases — an agent gets no guidance on a missing or invalid slug, which is the main failure mode of a key-based lookup.

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 baseline would be 3, but the description genuinely adds meaning the schema does not: it explains that the slug is 'the last part of its page address', which tells an agent how to derive the value from a URL rather than guess. The schema's own description only gives the example 'kakimori'.

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 a specific resource ('one Pinmade shop') and the lookup key ('by its slug'), so an agent can tell this is a single-record fetch, not a listing. It stops short of naming search_shops or list_places as the alternatives, so the distinction from siblings is implied rather than stated.

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?

Usage is only implied: you should call this when you already have a slug. There is no explicit when-to-use clause, no statement that this is the wrong tool when you only have a name or partial text (which would point to search_shops), and no prerequisites or failure guidance.

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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