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Coinlight: pay-per-call crypto data for agents (x402)

Text stats and token estimate

text_stats
Read-only

Count characters, words, lines, bytes and estimate LLM tokens for a text, so an agent can budget context before sending it. ($0.005 USDC per call via x402 at https://coinlight-app.vercel.app/p/text-stats)

Input Schema

NameRequiredDescriptionDefault
textYesText to measure (max 200k chars).
paymentNoOptional x402 PAYMENT-SIGNATURE header value. Omit to use a free trial call or get payment requirements.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint and openWorldHint, and the description adds genuinely new context: per-call pricing ($0.005 USDC via x402) and the payment endpoint. This exceeds what the annotations convey, though it doesn't describe the return shape.

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 tight sentences: the capability and its purpose come first, with pricing tucked into parentheses. 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?

No output schema exists, so the description should ideally hint at the returned stats, but the enumerated counts plus payment mechanics make it sufficient for correct invocation. Minor gap in return-value framing.

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 both parameters (text, payment) are well documented in the schema, including the free-trial/payment-requirements behavior. The description adds little beyond that, so baseline 3 applies.

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?

States a specific verb and resource — count characters, words, lines, bytes and estimate LLM tokens — plus the agent-facing reason (budget context). Unambiguously distinct from the blockchain/crypto siblings.

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?

Explicitly frames the use case: 'so an agent can budget context before sending it.' Clear context, but no exclusions or named alternatives for when not to use it.

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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