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minia2a-mcp-remote

x402-strip-punctuation

Strip Punctuation: Remove all non-word, non-whitespace characters from text, keeping letters, digits and underscores. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
textNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. First observed

TDQS

C2.9/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden; it does disclose the core behavior (which characters are removed vs kept) and adds a payment/auth note about 5 free trial calls per signed wallet, which is genuinely useful context absent from structured fields. It omits edge-case behavior such as handling of non-ASCII letters, emoji, or empty input, and says nothing about the return shape.

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

Conciseness4/5

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

Front-loaded with the definition of the operation and only two sentences total; the punctuation rule is stated crisply. The trailing trial-call line is promotional but still carries payment information an agent may need.

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

Completeness2/5

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 redundant-looking parameters, the definition should at minimum resolve the text vs input ambiguity and note the return value. As written, an agent can guess the intent but cannot confidently form a correct call.

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 0% and there are two undocumented, non-required string parameters named 'text' and 'input' whose relationship is ambiguous. The description adds no meaning at all about which parameter holds the source string or how they interact, so it fails to compensate for the coverage gap.

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?

States a specific verb plus resource and defines the exact transformation: removes non-word, non-whitespace characters while keeping letters, digits and underscores. That is precise enough to predict output. However, it never distinguishes itself from the near-identical sibling x402-remove-punct (nor from x402-remove-control-chars / x402-strip-emoji), which an agent would need in order to pick correctly.

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?

No when-to-use guidance, no when-not-to-use, and no mention of alternatives such as x402-remove-punct or x402-remove-non-ascii. The agent must infer selection purely from the tool name and the transformations described.

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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