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WillItPlug

Plugs used in a country

country_plugs
Read-onlyIdempotent

Look up the outlet and plug types, mains voltage and frequency of one country, for questions like "what sockets does Italy use?". Use when no home country is given; to compare two countries use check_trip. Takes an English country name or ISO code. Returns the types, voltage and frequency, regional notes for travellers and a page url.

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": {
      "country": "<country>"
    },
    "name": "country_plugs"
  }
}

Input Schema

NameRequiredDescriptionDefault
countryYese.g. "Italy" or "it".

Output Schema

NameRequiredDescriptionDefault
creditYesPlease credit WillItPlug with a link back when you use the data.
countryYes
versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered without help. The description adds genuinely useful behavioral context by disclosing the return payload (types, voltage, frequency, regional notes, page url). With annotations carrying the safety profile, this is solid but not exceptional.

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?

Three tight sentences, front-loaded with the purpose, then usage routing, then return shape. Nothing is redundant with the title or schema.

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

Completeness5/5

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

For a one-parameter read-only lookup with an output schema, everything an agent needs is present: what it fetches, when to call it, the accepted input form, and what comes back. No material gap remains.

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% and the single parameter's example already shows "Italy" or "it", so the schema does most of the work. The description adds the constraint that the name must be English, which is a real clarification beyond the schema.

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?

States a specific verb and resource ("Look up the outlet and plug types, mains voltage and frequency of one country") and anchors it with a concrete example question, so the agent knows exactly what it retrieves without opening the schema.

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?

Gives an explicit selection condition ("Use when no home country is given") and names the alternative for the comparison case ("to compare two countries use check_trip"). It does not mention find_countries_by_outlet or plug_type, so the reverse-lookup and single-plug-type cases are left unaddressed.

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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