querystring
Parse a URL query string into structured JSON or build a query string from an object. Costs $0.001 USDC on Base via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | ||
| value | No |
Parse a URL query string into structured JSON or build a query string from an object. Costs $0.001 USDC on Base via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | ||
| value | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose a meaningful non-schema behavior: the $0.001 USDC on Base via x402 payment cost. However, it omits return shape, error/edge-case behavior (malformed input, repeated keys), and any failure modes, leaving notable behavioral gaps.
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?
Two sentences, zero filler, and the core function is front-loaded ahead of the payment note. Efficient and well-ordered, though the payment detail could arguably be separated from the primary purpose statement.
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 0% parameter coverage, the description is thin for a two-mode tool with an untyped 'value' parameter. It never explains the return structure (parse output vs build string) or what happens on invalid input, so an agent lacks enough to call it confidently.
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 0%, so the description must compensate. It gives meaning to 'mode' by pairing parse with an input query string and build with an object, which clarifies the otherwise untyped 'value' parameter per mode. It still does not pin down the concrete type/shape of 'value', so compensation is partial.
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?
States specific verbs and resource: parse a query string and build one, in both directions. This is distinguishable from neighbors like url-encode-decode and url-inspect by naming the query-string data type. It stops short of explicitly contrasting with those siblings, so it earns a 4 rather than a 5.
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?
The two listed actions map to the mode enum, giving implied usage ('parse' vs 'build'), but there is no explicit when-to-use guidance and no mention of alternatives such as url-encode-decode or url-inspect, which could plausibly overlap. Usage is inferable but not 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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