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Mav977

AutoMCP-SQL

by Mav977

get_users

Retrieve user data from the database with optional JSON filters. Specify column-value pairs to target specific records or leave empty for all users.

Instructions

Get rows from users. filters = JSON string like '{"col":"val"}' or empty string for all rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It explains the filter parameter format and that an empty string fetches all rows, providing useful behavioral context. However, it does not mention read-only status explicitly, nor potential side effects or error handling, leaving some gaps.

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 two short sentences with no fluff. The purpose is front-loaded, and the parameter explanation is directly attached.

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?

Given the tool's simplicity and the presence of an output schema, the description covers the essential usage and parameter format. Minor gaps remain, such as how multiple filter keys are combined or if pagination exists, but these are not critical for a basic tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only the parameter name and type with no description. The description adds crucial semantic meaning by specifying the JSON string format and the special empty string case, making the parameter fully understood.

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 tool retrieves rows from the 'users' resource using the verb 'Get'. It distinguishes from sibling mutation tools (create_users, update_users, delete_users) by indicating a read 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 reading user data but does not explicitly compare with alternatives or state when not to use. The sibling tools for the same resource are mutations, so usage is inferred rather than explicit.

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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