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x402-sql-explain

SQL Explain: Describes a SQL statement's type, referenced tables, and whether it uses WHERE, JOIN, GROUP BY, or ORDER BY 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
sqlNo
dataNo
textNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / data / description
      Removed value: -"Data to process"
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / sql / description
      Removed value: -"Sql to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full burden. It does disclose a genuine behavioral trait beyond the schema: a rate/quota limit ('5 free trial calls per signed wallet'), which implies wallet-signed auth and throttling. However, it omits whether the SQL is executed or merely parsed, whether the operation is read-only, and how errors on malformed SQL are surfaced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core sentence is single, front-loaded, and dense with the analyzed fields; the trailing pricing note is short. Slightly cluttered by the emoji and promo text, but nothing is padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with four ambiguous, undocumented parameters, no annotations, and no output schema, the description does not do enough. It covers what the analysis contains but leaves unresolved which parameter to use and what form the result takes, gaps that structured data does not fill.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description says nothing about the four string parameters (sql, data, text, input), which appear to be interchangeable aliases. The description's mention of 'a SQL statement' loosely points at the 'sql' field, but the agent gets no guidance on which of the four to populate or whether more than one is expected.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (Describes) and resource (a SQL statement) and enumerates exactly what is extracted: statement type, referenced tables, and presence of WHERE/JOIN/GROUP BY/ORDER BY. That is concrete and useful, but it never distinguishes itself from near-identical siblings such as x402-sql-check, x402-sql-validate, and x402-sql-format, leaving the agent to guess which SQL tool to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 the sibling SQL tools it competes with. The only usage-adjacent text is the pricing note, which addresses cost rather than task selection.

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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