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BACH-AI-Tools

Postgres MCP Pro

get_object_details

Retrieve detailed information about PostgreSQL database objects like tables, views, sequences, or extensions to understand their structure and properties.

Instructions

Show detailed information about a database object

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schema_nameYesSchema name
object_nameYesObject name
object_typeNoObject type: 'table', 'view', 'sequence', or 'extension'table
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 behavioral disclosure. It states it 'shows detailed information,' implying a read-only operation, but doesn't cover aspects like permissions needed, rate limits, error handling, or what 'detailed information' includes (e.g., metadata, statistics). This is inadequate for a tool with potential complexity.

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 directly states the tool's purpose without unnecessary words. It's front-loaded and wastes no space, making it easy for an agent to parse quickly.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'detailed information' entails (e.g., format, content), potential side effects, or dependencies, which is insufficient for a tool that interacts with database objects and has sibling tools offering related functionalities.

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%, with clear descriptions for all parameters (e.g., 'object_type' specifies allowed values). The description adds no additional parameter semantics beyond what the schema provides, such as examples or usage notes, so it meets the baseline for high schema coverage.

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 clearly states the tool's purpose with a specific verb ('show') and resource ('detailed information about a database object'), making it understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_objects' or 'explain_query', which might also provide object information in different contexts.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'list_objects' (which might list objects without details) or 'explain_query' (which might analyze queries related to objects), leaving the agent without context for tool selection.

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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