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chrismo

SuperDB MCP Server

by chrismo

super_db_query

Execute SuperSQL queries on SuperDB databases to retrieve and analyze data from files and database pools with proper formatting options.

Instructions

Query data from a SuperDB database pool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe SuperSQL query to execute
poolNoPool name (can also use FROM in query)
lakeNoLake path (default: uses SUPER_DB_LAKE env or ~/.super)
formatNoOutput format (default: json)
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 the action ('Query data') but doesn't mention critical aspects like whether this is read-only or has side effects, authentication requirements, rate limits, error handling, or what the response looks like. For a database query tool with zero annotation coverage, this is insufficient.

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 with zero waste. It's appropriately sized and front-loaded, immediately conveying the core functionality without unnecessary elaboration.

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 complexity of a database query tool with no annotations and no output schema, the description is incomplete. It lacks information on behavioral traits, usage context, and output details, making it inadequate for an AI agent to fully understand how to invoke this tool correctly.

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 the input schema already documents all parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., it doesn't explain query syntax, pool selection nuances, or format implications). Baseline 3 is appropriate when 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 clearly states the verb ('Query') and resource ('data from a SuperDB database pool'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'super_query' or 'super_db_list', which likely have overlapping or related functionality.

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. With multiple sibling tools like 'super_query', 'super_db_list', and 'super_db_load', there's no indication of the specific scenarios, prerequisites, or exclusions for this 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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