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fa_iranProvinces

List all 31 Iranian provinces with their capitals and major cities. Use it to populate a province dropdown, to build a location picker, or to validate a region name. Returns every province. ($0.003 per call, USDC on Base)

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": "fa_iranProvinces"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the behavioral burden, and it does so well for a read-only tool: it declares the result is exhaustive ('Returns every province') and discloses pricing ($0.003 per call, USDC on Base), which the schema cannot express. It does not mention caching, rate limits, or persistence, keeping it just short of a 5.

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 short sentences with the content statement front-loaded and the pricing detail correctly placed at the end. 'Returns every province' partially restates 'List all 31 Iranian provinces,' costing it a point on tightness.

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?

There is no output schema, and the description compensates by naming the returned fields (provinces, capitals, major cities) and the exact count (31), plus cost. For a zero-parameter, low-complexity lookup that is essentially complete, though field names and data freshness are left unspecified.

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?

The tool takes zero parameters and the input schema is an empty object, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter claims are made that could mislead.

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 and resource with scope: 'List all 31 Iranian provinces with their capitals and major cities.' The agent immediately knows the payload. It does not differentiate from the near-identical sibling fa_iranProvince (single province) or fa_iranCity, so it falls short of a 5.

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 three concrete usage contexts (province dropdown, location picker, region-name validation), which is clear positive context. It names no alternatives or exclusions, so it never resolves the 'use this vs. fa_iranProvince / fa_iranCity' decision the sibling list creates.

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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