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ferronicardoso

mcp-postgresql

describe_table

Retrieve table structure details: columns, data types, nullability, default values, and primary key markers.

Instructions

Returns table structure: columns, types, nullability, defaults, and PK markers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name
schemaNoTable schema (default: public)
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 clearly indicates a read operation ('Returns') with no destructive behavior, but lacks explicit mention of read-only nature, idempotency, or performance implications. Adequate but could be more explicit.

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?

A single sentence that front-loads the purpose and includes specific output elements. Every word adds value, and there is no redundancy or unnecessary detail.

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

Completeness5/5

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

For a simple tool with two parameters and no output schema, the description sufficiently explains the return value and implies the parameters. It is complete given the tool's complexity and the context provided by sibling tools.

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

Parameters4/5

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

Schema coverage is 100% with both parameters documented. The description adds value by specifying the output's constituents (columns, types, etc.), which goes beyond the parameter descriptions. However, it does not elaborate on parameter usage or constraints beyond the schema.

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 tool's function with a specific verb ('Returns') and resource ('table structure'), and lists the components (columns, types, nullability, defaults, PK markers). It distinguishes from siblings like get_foreign_keys and get_table_indexes by focusing on overall table structure.

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 like execute_query or get_foreign_keys. The description does not include context about when it's appropriate or when to choose another sibling tool.

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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