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by io.github.rwaldman

countries_bulk

Download the complete versioned countries dataset as JSON for caching, offline use, or multi-country analysis when a single country_lookup call is not enough.

Use when:

  • Download the full countries dataset as JSON

  • Cache the complete versioned countries snapshot for offline use

  • Analyze or filter many countries without repeated single-code lookups

Do not use when:

  • Look up metadata for a single country by ISO code (use country_lookup instead)

  • Look up one currency or language code (use currency_lookup / language_lookup)

  • Fetch live geopolitical or exchange-rate feeds

Payment: 0.001 USDC via x402 on eip155:8453. No account. No API key. No signup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNoDataset version to retrieve. Defaults to 1.1

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the payment requirement (0.001 USDC via x402), versioning, and the JSON output format. However, it does not mention potential large response size or latency implications, which are minor gaps for a bulk download tool.

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?

The description is well-structured with a clear opening sentence, bullet-point lists for use/do-not-use, and payment info. It is slightly redundant—the opening sentence already mentions caching and multi-country analysis, which the 'Use when' list repeats—but overall it is concise and scannable.

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?

Given the tool's simplicity (1 optional param, no output schema), the description covers the essential context: what it does, when to use it, when not, and the payment model. It could mention error handling or expected response size, but for a bulk download tool, it is largely complete.

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?

The input schema already documents the only parameter 'version' with a clear description and default value, giving 100% schema coverage. The tool description adds no additional parameter semantics beyond this, so it meets the baseline but does not enhance understanding.

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?

The description clearly states 'Download the complete versioned countries dataset as JSON', using a specific verb, resource, and format. It also distinguishes from siblings by explicitly comparing to 'country_lookup' and mentioning multi-country analysis, making the tool's unique purpose clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes explicit 'Use when' and 'Do not use when' sections, listing precise scenarios and naming alternative tools like country_lookup, currency_lookup, and language_lookup. This provides clear, actionable guidance for when to choose this tool over alternatives.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear use cases and explicit 'Do not use when' guidance preventing confusion. For example, base64_decode and url_decode handle different encoding schemes, while timestamp_convert and timezone_convert address separate time operations.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (e.g., base64_decode, country_lookup, uuid_validate). While verbs vary (decode, encode, lookup, validate, convert), the naming format is uniform and predictable.

Tool Count4/5

The 18-tool set is slightly above the typical 3-15 range, but the breadth is justified by the server's purpose as a general-purpose utility toolkit. Each tool earns its place, and the count does not feel overwhelming or redundant.

Completeness4/5

The toolkit covers encoding/decoding, validation, lookups, and conversions across common developer needs. Minor gaps exist, such as no UUID generation tool to complement uuid_validate, and no HTML entity encoding/decoding, but these are not critical omissions for the stated utility scope.

Resources