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x402-strip-emoji

Strip Emoji: Strip emoji.

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

D1.8/5.0
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: no return format, no note on whether only emoji are removed or other symbols too, no mention of what happens to non-emoji Unicode. For a text-transformation tool with zero annotation coverage, this is a complete gap.

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?

Structurally clean — a single clause with no filler — but the brevity is under-specification rather than conciseness, since the sentence contains no information beyond the name.

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 no annotations, no output schema, and two ambiguous optional parameters, the description must carry the entire specification and delivers none of it. An agent cannot reliably invoke this tool or distinguish it from x402-remove-emoji on the basis of this definition.

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 description coverage is 100%, which normally sets a baseline of 3, but the schema's two parameters are near-synonyms ("text" described as "Text to process" and "input" as "Input to process") with 0 required fields. The description is the only place that could disambiguate which parameter is actually consumed, and it says nothing, so the ambiguity is left unresolved.

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

Purpose2/5

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

"Strip Emoji: Strip emoji." is a tautology that merely restates the tool name; it names no input type, scope, or output. It also fails to distinguish this tool from close siblings such as x402-remove-emoji, x402-count-emoji, x402-has-emoji, and x402-emoji, leaving the agent to guess which of these overlapping text tools to pick.

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 when-to-use guidance, no exclusions, and no mention of the obvious alternative (x402-remove-emoji). The agent receives no signal about why this tool exists alongside a near-identical sibling, so selection must be inferred from the name alone.

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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