x402-sql-format
SQL Format: Uppercases SQL keywords in a statement without otherwise reformatting it 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sql | No | ||
| text | No | ||
| input | No |
SQL Format: Uppercases SQL keywords in a statement without otherwise reformatting it 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| sql | No | ||
| text | No | ||
| input | No |
Changes observed during successful MCP inspections.
Input schema / properties / input / descriptionRemoved value: -"Input to process"Input schema / properties / sql / descriptionRemoved value: -"Sql to process"Input schema / properties / text / descriptionRemoved value: -"Text to process"Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Input schema / properties / inputAdded value: +{
+ "description": "Input to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose the key behavioral trait: only keyword casing changes, nothing else is reformatted. However, it says nothing about whether the input is validated, what happens on malformed SQL, idempotency, or the response shape, leaving meaningful behavioral gaps for an unannotated tool.
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?
A single front-loaded sentence that immediately names the operation and its scope limit. The free-trial marketing clause is filler but small, and nothing else is wasted.
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?
For a simple text transformation with no output schema and no annotations, the description adequately covers purpose and transformation scope. It falls short on the three ambiguous input parameters and on return/error behavior, which are left entirely to inference.
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 coverage is 0% across three parameters (sql, text, input), and the description mentions only 'a statement' generically. It does not disambiguate which of the three near-synonymous string inputs to use or whether they are aliases, so it fails to compensate for the undocumented schema.
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 a specific verb (uppercases) and resource (SQL keywords in a statement) plus a precise scope limit (without otherwise reformatting). This clearly separates it from siblings like x402-sql-validate, x402-sql-check, and x402-sql-explain, which an agent can rule out without opening any schema.
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?
Usage is implied by the narrow, self-explanatory transformation rather than stated. There is no explicit 'use this when... / use X instead' routing, and no prerequisites or input expectations are given, so the agent must infer the calling context.
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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