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minia2a-mcp-remote

x402-arithmetic-series-sum

Arithmetic Series Sum: Sum of an arithmetic series. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
aNo
nNo
diffNo
countNo
firstNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • removedInput schema / properties / a / description
      Removed value: -"A to process"
    • removedInput schema / properties / count / description
      Removed value: -"Count to process"
    • removedInput schema / properties / diff / description
      Removed value: -"Diff to process"
    • removedInput schema / properties / first / description
      Removed value: -"First to process"
    • removedInput schema / properties / n / description
      Removed value: -"N to process"
  2. First observed

TDQS

C2.3/5.0
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 disclosure burden. It does add one genuinely useful behavioral fact beyond the schema: the tool is metered and requires a signed wallet for the 5-call free trial, which tells the agent about auth and cost. It says nothing about return format, error behavior, or edge cases such as n=0, which are significant gaps for a computation tool.

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

Conciseness3/5

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

Two short sentences with the core statement front-loaded, so there is no bloat. However, the brevity reflects under-specification rather than economy: the space saved is space that should have described the parameters and the series semantics.

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?

For a tool with five undocumented, overlapping, all-optional parameters and no annotations or output schema, the description supplies no usable calling information. An agent cannot determine which parameters are needed, what form they take (they are strings, oddly), or what the result represents.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has five parameters with 0% description coverage, and the description explains none of them. Worse, the parameter names are mutually ambiguous: a vs. first both plausibly mean the first term, and n vs. count both plausibly mean the number of terms, and the description does nothing to disambiguate which is which or why all five exist when none are required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Sum of an arithmetic series" does identify the operation and the mathematical object, but it is essentially a restatement of the tool name rather than a specification. It gives no basis for choosing this over the very close siblings x402-arithmetic-series, x402-geometric-series-sum, or x402-triangular-series, which is a real problem given how many series tools exist.

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 prerequisite description, and no mention of alternatives or exclusions. The only extra sentence concerns free-trial billing, which is not usage guidance for the arithmetic operation.

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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