x402-levenshtein
Levenshtein: Compute Levenshtein edit distance between strings. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | ||
| b | No |
Levenshtein: Compute Levenshtein edit distance between strings. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | ||
| b | No |
Changes observed during successful MCP inspections.
Input schema / properties / a / descriptionRemoved value: -"A to process"Input schema / properties / b / descriptionRemoved value: -"B to process"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 usefully discloses the auth/payment model ('5 free trial calls per signed wallet'), which is real behavioral context. But it omits the return shape (presumably an integer distance), whether the comparison is case-sensitive, and what happens when the free trial is exhausted.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Short and front-loaded, with the core operation stated first. The 'Levenshtein:' prefix mildly restates the tool name and the free-trial line is marketing-flavored, but overall there is minimal waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-string utility with no output schema and zero parameter documentation, the definition should at minimum state what it returns (an edit-distance count) and confirm both inputs are required strings. It does neither, so an agent cannot predict the response format without invoking the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and neither 'a' nor 'b' is documented. The phrase 'between strings' hints both inputs are strings, but it never maps them to the parameter names, states requiredness (both are technically optional in the schema), or clarifies that the operation is symmetric so ordering is irrelevant. The description does little to compensate for the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Compute Levenshtein edit distance between strings.' An agent immediately knows the operation. However, it does not distinguish this tool from the near-identical sibling 'x402-levenshtein-distance', leaving genuine ambiguity about which to select.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use or when-not-to-use guidance. Nothing tells the agent how this differs from related siblings such as x402-levenshtein-distance, x402-hamming, x402-jaccard-similarity, or x402-string-similarity. The pricing sentence describes cost, not selection criteria.
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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