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devopam

MCPg - Production-grade PostgreSQL MCP Server

Describe self

describe_self
Read-only

Retrieve a structured overview of the MCP server's capabilities, grouped by buckets such as schema introspection, query execution, and vector search. Use this to quickly understand the server's full tool surface.

Instructions

Return a high-level summary of what mcpg can do, organised into capability buckets (schema introspection, query execution, vector search, RAG telemetry, audit trail, migrations, time-series, etc.). Call this first when discovering mcpg's surface — it's much more compact than walking the full tool catalogue. Returns an object with headline, version, tool_count, capability_count, and a capabilities list, where each capability has id, name, summary, detail, headline_tools (top 3-6 tools to reach for first), tool_count, and all_tools (the full list in that bucket). Read-only; no database access. Pair with list_tools (MCP-protocol) when you need every tool's full schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations already provide readOnlyHint=true, and the description adds 'Read-only; no database access,' which is consistent and adds useful behavioral context. No contradictions.

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 concise, front-loads the purpose, and every sentence adds value. No wasted words.

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 zero-parameter tool with annotations and an explicit output schema, the description fully covers what the tool does and its context. It is complete.

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?

No parameters exist, so baseline 4 applies. The description need not add parameter information, and it doesn't.

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 explicitly states the tool returns a high-level summary of mcpg's capabilities organized into buckets. It clearly distinguishes itself from siblings by stating it's 'much more compact than walking the full tool catalogue.'

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?

The description explicitly says 'Call this first when discovering mcpg's surface' and suggests pairing with list_tools, providing clear when-to-use and relative advantage over alternatives.

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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