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Glama

Molt2Meet

by io.github.molt2meet-org

List Countries

list_countries
Read-onlyIdempotent

List all countries with their current launch phase on Molt2Meet. Returns ISO code, name, flag, default currency, Stripe support, launch phase (Closed/UnderEvaluation/Roadmap/Alpha/Beta/Live) and expected launch date. Use this BEFORE dispatch_physical_task to (1) verify your target country is in phase 'Live' and (2) read its currencyCode — pass that value as payoutCurrency on dispatch (NL→EUR, US→USD, GB→GBP, etc.) so operators are paid in the local currency. Only Live countries can execute tasks. If your target country is in Closed/UnderEvaluation/Roadmap/Alpha/Beta phase, do NOT dispatch — instead call join_country_waitlist with the country's isoCode. Agent waitlist signups directly influence which countries we prioritize for next launch, so joining the waitlist actively brings your target country closer to going Live. No authentication required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds valuable behavioral context: no authentication required, the exact phases and their meanings, and the workflow implications of the returned data. No contradictions with annotations.

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?

The description is front-loaded with purpose, then returns, then usage. Every sentence earns its place, including the note about waitlist influence. It is dense but not verbose, and structurally guides the agent through decision-making.

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?

Given no output schema, the description thoroughly covers return values and their semantics. It explains phase statuses, currency usage, the dispatch prerequisite, and the no-auth requirement. The tool's simplicity (no params) is fully addressed by a complete and actionable description.

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 zero parameters, so the baseline is 4. The description adds no parameter syntax but clarifies the output field 'currencyCode' and its importance, which is relevant to the consumer of this tool's results.

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 the resource (all countries on Molt2Meet) and the action (list), and enumerates the returned fields including launch phase. It also differentiates from sibling tools like list_currencies and list_locales by focusing on country launch phases and workflow relevance.

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 explicitly instructs to use this tool before dispatch_physical_task to verify Live status and obtain currencyCode, and explicitly says do NOT dispatch for non-Live countries, instead calling join_country_waitlist. This provides clear when-to-use and 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

A3.9/5.0
Disambiguation3/5

Most tools have clearly distinct purposes, but there are overlapping pairs like fund_wallet and checkout_wallet_deposit (both create checkout URLs for wallet top-up) and cancel_physical_task vs cancel_task_with_settlement. Detailed descriptions and cross-references help, but the sheer number of similar actions creates misselection risk.

Naming Consistency4/5

Tool names follow a consistent verb_noun snake_case pattern (e.g., get_*, list_*, approve_*). Minor deviations include inconsistent use of 'task' vs 'physical_task' in names and the awkward 'checkout_wallet_deposit', but overall the pattern is predictable.

Tool Count2/5

54 tools is excessive for any server, even a complex platform. While each tool has a role, many are redundant or could be consolidated (e.g., wallet funding tools, multiple approval/cancel variations), making the set feel bloated and hard to navigate.

Completeness4/5

The tool set covers the full task lifecycle, escrow/direct settlement flows, wallet management, webhooks, support, and administrative functions. The only notable gap is the inability to update task details beyond location (description, deadline, etc.) after dispatch, but core workflows are well-covered.

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