x402-query-string-parse
Query String Parse: Query String Parse
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Query to process | |
| value | No | Value to process |
Query String Parse: Query String Parse
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Query to process | |
| value | No | Value to process |
Changes observed during successful MCP inspections.
Input schema / properties / queryAdded value: +{
+ "description": "Query to process",
+ "type": "string"
+}Input schema / properties / valueAdded value: +{
+ "description": "Value 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, not whether it returns an object or array, not error behavior for malformed input. For a parser this is a critical omission.
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 brevity here reflects under-specification rather than economy: the single line contains a redundant repeated label and zero substantive content. There is no front-loaded useful information because there is no useful information at all.
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 vaguely named optional parameters, the description supplies none of the context an agent needs. It does not state the return format or the input format (raw string, key=value pairs, with or without leading '?'), making correct invocation essentially impossible to infer.
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 the baseline is 3 even though the description says nothing about parameters. The schema's own text ('Query to process', 'Value to process') is itself vacuous, so this is a weak baseline rather than a strong one, but the rubric default applies.
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 literal tool name repeated twice ('Query String Parse: Query String Parse'), which is a tautology rather than an explanation. Nothing states what is parsed, what form the input takes, or how it differs from the many sibling parse/convert tools.
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 about when to use this tool, no prerequisites, and no mention of alternatives. A near-identical sibling, x402-query-string-build, exists and the description gives no cue about which to pick, so an agent is left to guess purely 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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