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Mav977

AutoMCP-SQL

by Mav977

create_users

Add a user record to the users table by supplying a JSON string with column-value pairs. Creates a new row with specified data.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations are absent, so the description carries the full burden. It discloses that the tool performs an insert and specifies that the data must be a JSON string of column-value pairs with an example. However, it does not mention potential side effects, permissions, idempotency, or error behavior. This is minimal but sufficient for a simple CRUD tool.

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 concise sentence followed by a concrete example. It is front-loaded with the action and resource, and every word adds value. No unnecessary fluff or repetition of schema details.

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 has only one parameter and an output schema is present, the description adequately covers the input format and the action. It does not delve into column specifics or assume constraints, but for a simple insert operation with an output schema, the essential information is provided. The lack of explicit usage guidance is a minor gap.

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 only defines 'data' as a string with no description. The description enriches this by explaining the expected format: a JSON string like '{"col":"val"}'. This guidance is crucial for correct usage and fully compensates for the 0% schema description coverage, though it could be more explicit about column names or constraints.

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 it 'Insert a new row into users', identifying both the action (insert) and the target resource (users). This distinguishes it from the sibling tools like delete_users, get_users, and update_users, and from create tools for other resources such as products or orders.

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 implicitly indicates use for creating a new user record, but it offers no explicit guidance on when to use this tool versus alternatives, nor does it mention exclusions or prerequisites. The intended usage is clear from the verb and resource name, but it remains implicit rather than explicitly stated.

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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