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x402-sentence-count

Sentence Count: Sentence Count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoText to process
inputNoInput to process

Schema Changelog

Changes observed during successful MCP inspections.

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

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not the counting rules, not the return shape, not whether punctuation-only fragments count. Nothing beyond the name is communicated.

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

Conciseness2/5

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

It is short, but this is under-specification rather than conciseness: the sole sentence is a duplicated title with zero information content. Brevity here is a defect, not an economy.

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

Completeness1/5

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

For a two-parameter text-processing tool with no annotations and no output schema, the description should at minimum define the input and the counted unit. It provides neither, leaving the agent unable to call it correctly with confidence.

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 nominally 100%, but both parameters ('text' and 'input') have near-identical placeholder descriptions ('Text to process' / 'Input to process'), which is actively confusing rather than clarifying. The description does nothing to disambiguate the two overlapping string inputs, so it fails to compensate where the schema is unhelpful.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is 'Sentence Count: Sentence Count', a pure restatement of the tool name. It never says what a sentence count returns, what unit it counts in, or how it differs from siblings like x402-sentence-split, x402-paragraph-count, or x402-word-count.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no stated input expectations, and no mention of alternative counting tools in a family of hundreds of near-identical text-metric siblings. The agent is left to guess purely from the name.

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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