Skip to main content
Glama
Mav977

AutoMCP-SQL

by Mav977

create_products

Adds a new product entry to the products table by accepting JSON data, enabling direct product creation in the SQLite database.

Instructions

Insert a new row into products. data = JSON string like '{"col":"val"}'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 only states the operation and data format, with no mention of side effects, validation behavior, permissions, or error handling. For a mutation tool, this is a minimal disclosure.

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, front-loaded sentence with a practical example. Every word earns its place, with no fluff or repetition.

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

Completeness4/5

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

The tool is simple (one parameter) and has an output schema, so the description need not explain return values. It covers the essential input format. However, it omits any mention of validation constraints or operational behavior, leaving minor gaps for an agent to discover at runtime.

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?

The schema has 0% description coverage, so the description compensates well by explaining that 'data' is a JSON string and providing a concrete example ('{"col":"val"}'). This adds meaningful context about the expected format beyond the schema's bare type definition.

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 action ('Insert a new row') and the resource ('into products'), which is specific and distinct from sibling tools like update_products or delete_products. The verb 'Insert' is unambiguous for a create operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for creating new products but provides no explicit guidance on when to use this tool versus alternatives (e.g., update_products). The intended use is clear from the verb and resource name, but there is no stated exclusions or context about prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Mav977/AutoMCP-SQL'

If you have feedback or need assistance with the MCP directory API, please join our Discord server