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Glama

get_snapshot

PAID ($0.02). Snapshot of every series for every country in one call. Pass api_key if you have one; otherwise the response explains how to pay via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key

TDQS

A3.6/5.0
Behavior3/5

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

No annotations provided, so the description carries full burden. It discloses the cost ($0.02) and the behavior when no api_key is provided (response explains payment). However, it doesn't mention whether the call is idempotent, rate limits, or response size. Adequate but not exhaustive.

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?

Two sentences, front-loaded with 'PAID ($0.02)'. Every word earns its place. No redundancy or fluff.

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?

No output schema exists, so the description should cover what the snapshot contains. It says 'snapshot of every series for every country' but doesn't specify the data format or structure. Also lacks potential response size warnings. Adequate for a simple tool but leaves some unknowns.

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 input schema has one parameter (api_key) with 100% coverage. The description adds that the api_key is optional and explains the fallback behavior (payment instructions). This gives context beyond the schema's simple 'API key' description.

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 clearly states it provides a snapshot of every series for every country. The verb 'snapshot' combined with the scope distinguishes it from siblings like get_series (single series) or list_series (list). However, it doesn't explicitly contrast itself with alternatives.

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?

It gives context about the paid nature and how to pass an api_key or get payment instructions. But it doesn't explicitly state when to use this tool vs siblings (e.g., 'use this to get all data at once; use get_series for a single series').

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct domain: wage compliance, income tax, VAT, working days, holidays, series data (current, history, snapshot, catalog), and settlement dates. Even the financial computations (check_minimum_wage, compute_income_tax, compute_vat) have clearly different inputs and purposes, so no two tools are confusable.

Naming Consistency4/5

Most tools follow a clear verb_noun snake_case pattern (check_, compute_, count_, get_, list_). The only exception is `settlement_date`, which is a noun phrase rather than verb-first, but it remains consistent in style and readability. This minor deviation prevents a perfect score.

Tool Count5/5

With 10 tools, the server is well-scoped for a reference-data provider. It balances specific computations (minimum wage, tax, VAT) with general data access (series, holidays, settlements), and each tool serves a clear purpose without overlap or unnecessary bulk.

Completeness5/5

The tool surface comprehensively covers reference data for financial and calendar domains: statutory rates and compliance, holiday and working-day calendars, settlement conventions, and a generic series system with current, historical, snapshot, and catalog access. No obvious gaps impede an agent from accomplishing typical reference-data tasks, and the free list_series enables discovery.

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