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x402-reading-level

Reading Level: Scores text with the Flesch reading ease formula and labels its difficulty band 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
textNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the pricing/access model ('5 free trial calls per signed wallet'), which is genuine behavioral context an agent needs before invoking. However, it says nothing about the return format, error behavior, or how the two input fields interact.

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?

One front-loaded sentence that puts the operation, algorithm, and output first, with the access note trailing. No wasted clauses, though the emoji marker is decorative rather than informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and two undocumented string parameters, the description should do more work than it does. It explains the computation but leaves the ambiguous dual-input schema and the return shape entirely unexplained, which is inadequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and there are two string parameters ('text' and 'input') with no description of either. The description mentions 'text' only implicitly via 'Scores text', and does nothing to disambiguate why two string params exist or which one an agent should populate. This is a meaningful gap at 0% coverage.

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 states a specific verb ('Scores') and resource ('text'), and names the exact algorithm (Flesch reading ease) plus the output shape (difficulty band label). This is more specific than most siblings, though it never addresses the near-identical x402-readability-score sibling, so an agent still has to guess between them.

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 statement of when to use this tool versus alternatives, no prerequisites, and no note about what kind of input it expects. In a sibling set containing x402-readability-score, x402-reading-time, and x402-syllable-count, the lack of routing guidance is a real gap.

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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