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x402-entropy

Entropy: Calculate the Shannon entropy of a dataset. Provide values array; measures the information or randomness. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
valuesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / values / description
      Removed value: -"Values to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / values
      Added value: +{
      +  "description": "Values to process",
      +  "type": "string"
      +}
  3. 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 supplied, so the description carries the full burden. It does add real behavioral context by disclosing the payment model ('5 free trial calls per signed wallet'), which is valuable. It does not say whether the call is read-only, what the response contains, or what happens after the free calls are exhausted.

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 purpose in the first clause, then the input hint, then the pricing note. Compact with no filler, though the emoji-decorated pricing sentence is more promotional than definitional.

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 an undocumented single parameter whose type conflicts with the prose, the definition should say more — input format and at least a hint of what the entropy value looks like (log base, units, bounded range). As written, an agent knows the concept but not how to call it correctly.

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% for the single 'values' parameter, and the description says 'values array' while the schema declares it as a plain string — a mismatch that leaves the expected input format (comma-separated list? JSON array serialized as string?) ambiguous. The description neither resolves the type conflict nor specifies delimiters or numeric constraints.

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 and resource: 'Calculate the Shannon entropy of a dataset,' and adds a gloss ('measures the information or randomness'). However, the catalog contains near-identical siblings such as x402-shannon-entropy and x402-text-entropy, and the description makes no attempt to distinguish this tool from them.

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?

'Provide values array' is the only usage instruction; there is no statement of when to choose this over x402-shannon-entropy, x402-text-entropy, or x402-char-diversity, nor any prerequisites or exclusions. Usage 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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