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x402-ngram-gen

Ngram Gen: Ngram Gen

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
textNoText to process
inputNoInput to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • 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 whether the operation is read-only, what it returns, how it handles input, or any side effects. Combined with a description that is pure tautology, this is a critical gap.

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

Conciseness1/5

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

The description is four words and carries zero information beyond the tool name. This is not conciseness; it is under-specification. There is no front-loaded purpose statement or structure.

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?

With three parameters, no annotations, and no output schema, the description should at minimum explain what the tool computes and what it returns. It does none of this, leaving the agent unable to distinguish this tool from the many n-gram-related siblings.

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%, so the three parameters (n, text, input) each have schema-level descriptions. The description itself adds nothing about parameters, but per the rubric, baseline 3 is appropriate when the schema already documents all parameters.

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 "Ngram Gen: Ngram Gen" is a pure tautology — it restates the tool name without stating any verb, action, or resource in a meaningful way. It gives no indication of what the tool actually produces (n-grams from text) or how it differs from siblings like x402-ngram or x402-bigrams.

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 usage guidance whatsoever — no when-to-use, no alternatives, no conditions. The description is a bare echo of 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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