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aliyun

Alibaba Cloud DMS MCP Server

Official
by aliyun

fixSql

Read-only

Analyze and fix SQL errors by providing the database ID, SQL statement, and error message.

Instructions

Analyze and fix the SQL error based on the provided SQL statement, error message, and database ID.If you don't know the databaseId, first use getDatabase or searchDatabase to retrieve it. (1) If you have the exact host, port, and database name, use getDatabase. (2) If you only know the database name, use searchDatabase. (3) If you don't know any information, ask the user to provide the necessary details. Note: searchDatabase may return multiple databases. In this case, let the user choose which one to use.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYesDMS databaseId
questionNoNatural language question
sqlYesThe SQL that caused an error
errorYesSQL error message
modelNoOptional: if a specific model is desired, it can be specified here
Behavior4/5

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

Annotations set readOnlyHint=true, and the description does not contradict. It adds context about using getDatabase/searchDatabase but does not explicitly state the tool only returns a fixed SQL without modification. Still clear enough.

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?

Well-structured with numbered steps that are front-loaded. Could be slightly more concise, but every sentence adds value.

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

Completeness3/5

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

Covers core usage and prerequisite tools, but misses explaining optional parameters and does not describe the output (fixed SQL). With no output schema, this is a gap.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description mentions database ID, SQL, and error but does not add new information about the optional question or model parameters beyond what schema provides.

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

Purpose5/5

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

The description clearly states 'Analyze and fix the SQL error' with specific resources (SQL statement, error message, database ID). This distinguishes it from siblings like generateSql or optimizeSql.

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

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit steps for retrieving databaseId using getDatabase or searchDatabase, including when to ask the user. This guides the agent on prerequisites and alternative tools.

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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