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chrismo

SuperDB MCP Server

by chrismo

super_db_load

Load data files or inline content into a SuperDB database pool for querying and analysis, enabling AI assistants to process structured data without shell escaping issues.

Instructions

Load data into a SuperDB database pool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
poolYesPool name to load data into
filesNoFile paths to load
dataNoInline data to load (alternative to files)
lakeNoLake path (default: uses SUPER_DB_LAKE env or ~/.super)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Load data') but doesn't describe what 'load' entails (e.g., overwrite, append, requires permissions), potential side effects, rate limits, or response format. This is inadequate for a mutation tool with zero annotation coverage.

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 wasted words. It's appropriately sized and front-loaded, directly stating the tool's purpose 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 this is a mutation tool (loading data) with no annotations and no output schema, the description is incomplete. It doesn't address behavioral aspects like permissions, side effects, or what happens on success/failure, which are critical for safe tool invocation in this context.

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 documents all 4 parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., it doesn't clarify the relationship between 'files' and 'data' as alternatives). 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 ('Load') and resource ('data into a SuperDB database pool'), making the purpose understandable. However, it doesn't distinguish this tool from potential alternatives like 'super_db_create_pool' or 'super_db_query' that might also handle data operations, so it doesn't reach the highest clarity level.

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 like 'super_db_query' or 'super_db_create_pool'. It mentions no prerequisites, exclusions, or contextual cues for selection, leaving the agent with minimal usage direction.

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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