x402-text-sparkline
Text Sparkline: Text Sparkline
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Data to process | |
| values | No | Values to process |
Text Sparkline: Text Sparkline
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Data to process | |
| 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 entire burden of behavioral disclosure, and it discloses nothing: no output format, no constraints on the 'data' vs 'values' inputs, no note on whether output is plain text or a rendered image. A 2-parameter tool with zero annotation coverage needs far more than a repeated name.
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 short, but the two duplicated words earn nothing — there is no front-loaded intent, no clause an agent can act on. Brevity here reflects under-specification rather than conciseness.
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 two vague parameters, the definition omits everything an agent needs: what a sparkline result looks like, how the two string inputs are consumed, and when this tool is the right pick among the many x402-text-* siblings.
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 100%, so per the baseline rule the schema is treated as doing the heavy lifting despite its generic 'Data to process' / 'Values to process' text. The description adds no meaning at all beyond that, but does not fall below the baseline.
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 the verbatim tool name repeated twice — 'Text Sparkline: Text Sparkline' — which is a pure tautology. It never states what the tool actually produces (a sparkline rendered from values?) or how it differs from near-identical siblings such as x402-text-bar-chart, x402-text-table, or x402-text-report.
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 prerequisites, and no mention of alternatives. An agent facing both x402-text-sparkline and x402-text-bar-chart has nothing in the definition to route on.
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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