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Text Readability Score

TextReadabilityScore
Read-only

Text Readability Score: Text Readability Score calculates the readability score and grade level of any text across standard formulas. It returns Flesch Reading Ease, Gunning Fog, Coleman-Liau, syllable and word counts, an average grade level, and a target audience label. (Cost: 2 credits)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "TextReadabilityScore"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesThe text to calculate the readability score of

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

The annotations already establish that this is a safe read-only, non-destructive operation, and the description adds useful pricing context with '2 credits.' It also lists returned metrics, but that is redundant with the output schema, and it does not explain formula-selection behavior, text length limits, or scoring caveats.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably short and front-loads the core function, but it wastes space with the duplicated 'Text Readability Score: Text Readability Score' opening. It also enumerates return values that are already captured by the output schema, so not every sentence earns its place.

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?

For a simple single-parameter tool with annotations and a full output schema, the description is adequate: it covers purpose, outputs, and cost. However, it omits usage guidance relative to siblings and does not clarify whether formula selection or customization is possible, leaving minor gaps for an agent choosing among readability tools.

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 description coverage is 100%, and the only parameter, 'text,' is already fully documented with an example. The description does not add constraints or formatting guidance beyond what the schema provides, so the baseline of 3 is appropriate.

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 action and resource: it calculates readability scores and grade levels across standard formulas. However, it opens by redundantly repeating the tool name, and it does not differentiate the tool from close siblings such as WebsiteReadability or SyllableCounter.

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 explicit guidance on when to use this tool versus alternatives like WebsiteReadability, GrammarCheck, or SyllableCounter. The description says what it does but not which situations should select it or when another readability-related sibling is more appropriate.

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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