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Debanjan29

mcp-sqlserver

by Debanjan29

generate_insert_scripts

Generate INSERT statements from existing SQL Server table data to create migration or seeding scripts.

Instructions

Generate INSERT statements from existing table data (for migration/seeding)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoMax rows to generate (default: 100)
tableYesTable name
schemaNoSchema name (default: dbo)
serverNoTarget server name (uses default if omitted)
databaseNoDatabase name (uses connection default if omitted)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only states that it generates INSERT statements from existing table data, but does not mention that it is read-only, whether it has performance implications, or what happens with large tables. The tool appears to be a read operation, but this is not explicitly stated.

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

Conciseness5/5

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

The description is a single, efficient sentence that states the purpose and use case without redundant detail. It is front-loaded with the action and resource, making it easy to scan quickly.

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

Completeness4/5

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

Given the simplicity of the tool and that all parameters are schema-documented, the description is largely complete for an agent to understand what the tool does. However, because there is no output schema, the description might have mentioned what the tool returns (e.g., the generated scripts as text) to fully close the loop, though it is reasonably implied by the purpose.

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?

The schema description coverage is 100%, so all five parameters (table, top, schema, server, database) are already documented in the schema. The tool description adds no additional meaning about parameters, such as default behaviors or relationships between them, so it does not exceed the baseline.

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 the verb 'Generate' and the specific resource 'INSERT statements from existing table data,' which is unambiguous. The parenthetical '(for migration/seeding)' adds a concrete use case that helps distinguish it from siblings like generate_code or generate_test_data.

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

Usage Guidelines4/5

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

The description explicitly mentions the intended use case (migration/seeding), which gives a clear context. However, it does not name any alternative tools or explicitly state when not to use this tool, so it falls short of a 5. The context itself is enough to infer this is for copying existing data rather than generating new data.

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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