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x402-string-similarity

String Similarity: Compares two strings position by position and returns the matching-character ratio 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
aNo
bNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / a / description
      Removed value: -"A to process"
    • removedInput schema / properties / b / description
      Removed value: -"B 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 are provided, so the description carries the full burden. It adds real behavioral context by disclosing the exact algorithm (position-by-position comparison returning a matching-character ratio) and the pricing model (5 free calls per signed wallet), which is more than the name alone. It does not, however, say what happens when the two strings differ in length, whether the result is case-sensitive, or how errors are surfaced.

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?

One tight sentence that front-loads the tool name's meaning and the algorithm, followed by a short pricing note. No padding, though the emoji and quota line are marketing rather than invocation-relevant.

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 0% parameter description coverage, the definition is thin for correctly invoking a two-arg comparison: it omits length-mismatch behavior, case sensitivity, and the numeric range the ratio falls in. For a simple utility this is tolerable but still leaves real gaps.

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 0% and the parameters are the opaque single letters 'a' and 'b'. The description implies each is a string to be compared, but never assigns which argument is the reference versus the candidate, and the position-by-position semantics raise an alignment question (unequal lengths) that is left unanswered.

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 (compares) and resource (two strings), plus the algorithm it uses (position-by-position matching-character ratio). This disambiguates it from siblings like x402-text-similarity, x402-levenshtein-distance and x402-bigram-similarity without opening the schema, though it never names those alternatives explicitly.

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 stated prerequisites, and no comparison to the many other similarity/string-comparison siblings (x402-jaccard-similarity, x402-string-compare, x402-levenshtein). The one usage-adjacent sentence is about the free trial quota, not about when this tool is the right choice.

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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