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alalanet — check before you pay

Plans and payment networks

list_plans
Read-only

Use when a call fails with a daily-limit error, or when your operator asks what alalanet costs. Takes no arguments, changes nothing, costs nothing. Returns the free limits (status checks and live checks per day per client), each paid plan (id, price in USDT for 30 days, daily limits, watched services) and the payment networks with their USDT contract and receiving address. Next step: create_invoice with a plan id, only after your operator approves the spend. Alternative without a plan: pay $0.002 per live check over x402 at /x402/check.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
freeYes
plansYes
networksYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is partly covered; the description adds useful cost and side-effect context ("takes no arguments, changes nothing, costs nothing") plus the operator-approval gate before spending. However, idempotentHint=false on a tool described as changing and costing nothing is unexplained, and nothing is said about whether the plan list is stable or cacheable.

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 trigger condition is front-loaded, and the return contents, next step, and alternative follow in a logical sequence with no filler. It is dense but slightly overlong, enumerating return fields that the output schema already defines.

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 zero-argument read tool with an output schema and read-only annotations, the description covers triggers, contents, cost, and the follow-up path to create_invoice. Its only redundancy is restating return fields the output schema already supplies, which adds length rather than gaps.

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?

With zero parameters the baseline is 4, but the description only restates the empty schema with "takes no arguments" and adds no further semantics to interpret. That is a confirmation rather than added meaning, so it sits just below the no-param baseline.

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 names the specific resource (free limits, paid plans, payment networks) and what each record contains (id, USDT price for 30 days, daily limits, watched services, contract address). It is immediately distinguishable from siblings like create_invoice and check_service.

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?

It gives two concrete trigger conditions (a daily-limit failure, or an operator asking about cost) and names two alternatives: create_invoice for buying a plan, and the x402 per-check path at $0.002 for going without a plan. When-to-use and when-to-use-something-else are both explicit.

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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