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x402-remove-emoji

Remove Emoji: Remove Emoji

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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. Changed1 schema field changed
    • addedInput schema / properties / input
      Added value: +{
      +  "description": "Input to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

D1.7/5.0
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, yet it discloses nothing about what 'remove' means operationally (e.g., replaces with nothing vs. a placeholder), whether the input is modified in place, or what the response contains. Zero behavioral information for a mutation-style transform tool.

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?

The text is short but not concise in a useful sense: 'Remove Emoji: Remove Emoji' duplicates itself with zero information gain. This is under-specification masquerading as brevity, not front-loaded efficiency.

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, two ambiguous parameters, and a duplicated tautological description, an agent has essentially nothing to decide whether or how to call this tool correctly. The definition is wholly inadequate for the tool's placement among many similar emoji and text-cleaning 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 structured schema already documents both parameters, and the baseline of 3 applies. However, the two parameters ('text' and 'input') carry near-identical generic descriptions and the tool-level description does nothing to disambiguate which one to use, which is a real usability gap the description could have closed.

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?

The description reads "Remove Emoji: Remove Emoji", which merely restates the tool name twice. It technically names a verb (remove) and resource (emoji), so it is not fully misleading, but it adds no scope, format, or output detail beyond what the name already conveys.

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?

No when-to-use guidance and no exclusions are given, even though close siblings exist (x402-strip-emoji, x402-emoji, x402-count-emoji, x402-has-emoji). Nothing tells the agent how to choose between removing, stripping, counting, or detecting emoji.

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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