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fa_iranProvince

Look up an Iranian province by its Persian name and return its capital and major cities. Use it to resolve a province in an address, to attach geographic context to a user, or to normalize a location field. Returns the province, its capital and its cities. ($0.005 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_iranProvince"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNoprovince name in Persian
textNoalias for name
valueNoalias for name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses read-only lookup behavior, the returned fields, and a notable behavioral detail in the per-call price ($0.005 USDC on Base). However it omits failure behavior for unknown/non-Persian names and any output format detail, so it is adequate but not rich.

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?

Front-loaded with the primary action, followed by usage and return details in a compact three-sentence block. Slight redundancy in restating capital and cities, and the pricing parenthetical could arguably be a separate field, but nothing is wasted.

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?

For a simple single-entity lookup with no annotations and no output schema, the description supplies the missing return-value summary and usage context, which is what a caller needs. Only edge-case behavior (unknown province, malformed Persian input) is unaddressed.

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 schema documents all three params, including that 'text' and 'value' are aliases for 'name'. The description adds one useful semantic constraint — the name must be Persian — but no format or normalization guidance, so 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 uses a specific verb plus resource ('look up an Iranian province by its Persian name') and enumerates the returned fields (province, capital, cities). It is clear on its own, though it never explicitly distinguishes itself from the sibling fa_iranProvinces (plural), leaving the singular/plural split to inference.

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?

It names three concrete use cases (resolving a province in an address, attaching geographic context to a user, normalizing a location field), which gives an agent clear trigger conditions. It stops short of naming alternatives or when-not-to-use cases (e.g. vs fa_iranProvinces or fa_iranCity).

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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