x402-cum-product-array
Cum Product Array: Cumulative product array.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No | Values to process |
Cum Product Array: Cumulative product array.
| Name | Required | Description | Default |
|---|---|---|---|
| values | No | Values to process |
Changes observed during successful MCP inspections.
Input schema / properties / valuesAdded value: +{
+ "description": "Values to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not the output shape (array of running products?), not what happens with zero/negative/empty input, and not the input encoding. A pure read/compute utility still needs some contract, and none is given.
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?
It is a single short sentence with no padding, which technically satisfies conciseness. However the brevity is under-specification rather than economy, since nothing in the sentence earns the agent's attention beyond the name it already has.
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?
With no annotations, no output schema, and only a generic parameter description, the description should be doing much more work: input format, output format, and edge-case behavior are all absent. For a math utility with a documented contract, this leaves the agent guessing about how to format the call.
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 reported at 100%, so the baseline is 3 even though the description adds nothing about the single parameter. In practice the schema's own wording ('Values to process') is generic and does not reveal whether values are comma-separated, whitespace-delimited, or a JSON array, so the description could have added real value here and does not.
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 is essentially the tool name spelled out: 'Cum Product Array: Cumulative product array.' It does expand the abbreviation 'cum' to 'cumulative', which gives minimal clarification, but it never states the operation (compute a running product over an input sequence) in a way an agent could act on. It also does nothing to distinguish itself from close siblings like x402-cumulative-product, x402-cum-sum-array, or x402-running-total.
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 guidance, no statement of what input scope it expects, and no mention of alternatives such as a scalar cumulative-product tool or a plain cumulative-sum tool. The agent is left to infer usage entirely from the name.
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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