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Structly MCP Server

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create_column

Add a new column to an existing table in a Structly schema. Configure its name, data type, primary key status, nullability, and default value.

Instructions

Добавить колонку в таблицу.

    Args:
        schema_uuid: UUID схемы.
        table_uuid: UUID таблицы.
        column_name: Название колонки.
        column_type: Тип данных PostgreSQL (например, uuid, bigint, text).
        is_primary: Является ли колонка первичным ключом.
        is_nullable: Может ли колонка содержать NULL.
        column_default: Значение по умолчанию (например, gen_random_uuid()).
        branch_name: Ветка схемы (по умолчанию main).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
is_primaryNo
table_uuidYes
branch_nameNomain
column_nameYes
column_typeYes
is_nullableNo
schema_uuidYes
column_defaultNo

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, and the description does not disclose side effects such as whether changes are persisted immediately, require a commit, or affect branches. The bare statement 'Add a column' provides minimal behavioral context for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of one concise sentence followed by a structured Args list. It is appropriately sized for eight parameters and avoids unnecessary verbosity.

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?

While the output schema likely covers return values, the description omits critical context about branch-based workflows (e.g., needing to commit after creation) and preconditions. This makes it incomplete for a schema-management tool that operates on branches.

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 Args section explains every parameter, including examples for column_type and column_default. Since the schema itself provides only titles and defaults (0% coverage), the description fully compensates by adding meaningful semantics.

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 opens with 'Добавить колонку в таблицу' ('Add a column to a table'), using a specific verb and resource. This clearly distinguishes it from sibling tools like edit_column and delete_column.

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?

No guidance is given on when to use this tool versus alternatives. The description only states the action and parameter definitions, with no mention of preconditions, branch workflows, or when another tool would be more appropriate.

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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