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readability

Readability scores for text or a web page: Flesch reading ease, Flesch-Kincaid grade, sentences, words, syllables. Costs 0.01 USDC on Base via x402, or 12 sats Cashu ecash (NUT-24), or 12 sats over Lightning (L402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
textNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavior burden, and it does disclose meaningful operational context: the cost (0.01 USDC, 12 sats via Cashu/L402) and payment rails, which an agent genuinely needs before calling. It omits other traits such as whether the URL is fetched live, timeout/failure behavior, or any rate limitations.

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?

Two compact sentences, front-loaded with the purpose and metrics before the cost detail. The pricing clause is dense with bare acronyms (x402, NUT-24, L402) but still earns its place since no annotations carry it.

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?

With no output schema, the description usefully enumerates the returned metrics, which is the right call. But for a two-parameter tool with zero schema coverage and no annotations, the missing input semantics and usage conditions leave it only minimally 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?

Schema coverage is 0% for two undocumented parameters, so the description must compensate. 'Text or a web page' loosely maps to text/url but never names them, states exclusivity, format expectations, or what happens if both or neither are supplied. Partial compensation only.

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?

States a specific resource and names the exact outputs (Flesch reading ease, Flesch-Kincaid grade, sentence/word/syllable counts), so an agent knows precisely what it gets. It does not, however, distinguish itself from close siblings like readable_text or extract_page.

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

Usage Guidelines2/5

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

There is no guidance on when to use this versus nothing else, no statement of prerequisites, and no indication that url and text are alternative input modes rather than complementary. The pricing sentence is the only extra context, and it is about cost, not usage selection.

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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