x402-median-filter
Median Filter: Median of filter.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No | Values to process | |
| window | No | Window to process |
Median Filter: Median of filter.
| Name | Required | Description | Default |
|---|---|---|---|
| values | No | Values to process | |
| window | No | Window to process |
Changes observed during successful MCP inspections.
Input schema / properties / valuesAdded value: +{
+ "description": "Values to process",
+ "type": "string"
+}Input schema / properties / windowAdded value: +{
+ "description": "Window 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 burden of behavioral disclosure, and it discloses nothing. It does not say whether the operation is a read-only pure computation, what algorithm or edge-handling applies at the series boundaries, whether 'window' is a size in elements, nor what the output looks like.
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?
The four-word payload is not concise but under-specified; it earns nothing and front-loads no actionable information. There is no structure to speak of beyond a repeated noun.
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, a vacuous parameter schema, and zero required parameters, the description had to supply all the operational context and supplies none. An agent cannot correctly invoke this tool on the basis of the definition alone.
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 nominally 100%, but the schema's own text is tautological ('Values to process', 'Window to process'), and both parameters are typed as strings with no format or unit hints. The description adds no meaning on top of an already vacuous schema, leaving the agent unable to know whether 'values' is a comma-delimited list or a JSON array, or whether 'window' is numeric.
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 a restatement of the tool name with no distinguishing verb or scope: 'Median Filter: Median of filter.' It never says what the median filter operates over (a numeric series), nor how it differs from the very similar sibling x402-median or x402-moving-average. An agent cannot tell from this text alone what it computes.
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 guidance on when to use this tool versus alternatives such as x402-median, x402-moving-average, or x402-median-absolute-deviation. No prerequisites, no inputs expectations, no exclusions are stated.
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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