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db_table_columns

Retrieve detailed column metadata for any database table, including types and constraints, using connection ID, database, and table name.

Instructions

Get detailed column information for a table

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connection_idYesConnection identifier from db_connect_test
databaseYesDatabase name
tableYesTable name
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It implies a read-only operation but does not confirm idempotence, permission requirements, or error handling (e.g., behavior if table missing). Minimal transparency beyond the basic action.

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 description is a single concise sentence with no wasted words. It is appropriately sized for a simple tool, though slightly more detail could be included without sacrificing conciseness.

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?

Given no output schema and no annotations, the description should provide more context about what 'detailed column information' includes. It does not mention return format, pagination, or relation to sibling tools, leaving gaps for an agent to infer.

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 description coverage is 100%, so the schema already explains each parameter. The description adds no extra meaning for parameters. Baseline of 3 is appropriate since the schema does the heavy lifting.

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 uses a clear verb+resource pattern ('Get detailed column information for a table'), distinguishing itself from sibling tools like db_table_foreign_keys or db_table_indexes. However, it does not specify what 'detailed' means (e.g., includes types, nullability, defaults), leaving slight ambiguity.

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?

No guidance is provided on when to use this tool versus alternatives such as db_table_describe or db_query_tables. The description simply states what it does without any context about prerequisites, limitations, or use cases.

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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