SQL Explainer Skill
The tool
Uses AI to break down SQL queries into understandable explanations, identifying the operation type, tables involved, and complexity level.
Once your client is connected to the VerveKit MCP server, this appears in its tool list as SQLExplainerSkill. It is read-only and open-world: it fetches, it never mutates anything on your side, so most clients will call it without asking you to confirm.
{
"name": "SQLExplainerSkill",
"arguments": {
"query": "SELECT * FROM users WHERE age > 18"
}
}What that looks like in a conversation
You don't name the tool — the model picks it. Asking about SELECT * FROM users WHERE age > 18 in the terms this source covers is enough for it to reach for SQLExplainerSkill on its own.
Connecting
One server URL covers every skill in the catalog, including this one. Authorization is OAuth — the client opens a browser once and there is no key to paste into a config file.
{
"mcpServers": {
"vervekit": {
"url": "https://api.vervekit.com/v1/mcp"
}
}
}https://api.vervekit.com/v1/mcpPer-client setup — Claude Desktop, Cursor, VS Code, ChatGPT — is on the MCP setup page.
Arguments
These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made.
| Argument | Type | Example | Description |
|---|---|---|---|
queryRequired | string | SELECT * FROM users WHERE age > 18 | The SQL query to explain |
detailPremium | string | standard | Explanation detail level: brief, standard, or detailed |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client can read fields without parsing prose. status is "ok" on success and error is null; a null field means the value wasn't available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": {
"explanation": "This SQL query retrieves the names of users and the number of orders they have placed. It filters users who were created after January 1, 2024. The query then groups the results by user ID and only includes users who have placed more than 5 orders, finally ordering the results by the order count in descending order.",
"operation": "SELECT",
"tables": [
"users",
"orders"
],
"complexity": "moderate"
}
}Fields
| Field | Type | Example | Description |
|---|---|---|---|
explanation | string | This SQL query retrieves the names of users and the number of orders they have placed. It filters users who were created after January 1, 2024. The query then groups the results by user ID and only includes users who have placed more than 5 orders, finally ordering the results by the order count in descending order. | Plain English explanation of what the SQL query does |
operation | string | SELECT | The type of SQL operation performed by the query |
tables | array | ["users","orders"] | List of database tables referenced in the query |
complexityPremium | string | moderate | The estimated complexity level of the SQL query |
Failure modes
Errors come back as tool errors with a sentence the model can act on, not a bare status code.
| Status | What it means |
|---|---|
400 / 422 | The arguments didn't validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Out of credits. Not a bad key — the month's allowance is spent. |
404 | This skill isn't part of VerveKit. Check the catalog. |
429 | Brief rate limit. Retrying after a moment succeeds. |
Other ways to use SQL Explainer Skill
Set up SQL Explainer Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.
Frequently asked questions
Do I have to tell the agent to use SQLExplainerSkill?
No. The tool's name and description are in the model's context once the server is connected, so it selects the tool when the question calls for it. Naming it explicitly works too and is useful when you want to force the call.
Does connecting the server expose every tool at once?
Yes — one connection lists the whole VerveKit catalog. Clients with a tool budget can usually filter the list; the credit cost is per call, so an unused tool costs nothing.
What does a call cost?
5 credits each time the tool actually runs. A model that reasons about the tool without calling it costs nothing.
Is there a REST version of this?
Yes — the same source is available as a plain HTTPS endpoint on APIVerve, linked above. Same data, same credits, same account.