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informatics-isi-edu

Deriva MCP Server

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set_column_description

Update or set a column's description in a database table, providing clear documentation for column meaning and usage.

Instructions

Set or update the description (comment) for a column.

Args: table_name: Name of the table containing the column. column_name: Name of the column to update. description: New description for the column.

Returns: JSON with status, table_name, column_name, description.

Example: set_column_description("Subject", "Age", "Subject age in years at enrollment")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYes
column_nameYes
descriptionYes

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 carry the burden of disclosure. It states the action ('set or update') and the return format (JSON with status, table_name, column_name, description). However, it does not mention side effects, permissions, idempotency, or reversibility. 'Set or update' implies the operation is idempotent and replaces the existing description, but this is not made explicit.

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 concise and well-structured: a one-sentence summary followed by Args, Returns, and Example sections. Every part earns its place, with no fluff or repetition. The most important information is front-loaded.

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 simplicity of the tool (3 string parameters, no nested objects) and the presence of an output schema, the description is nearly complete. It includes a return example and parameter explanations. It lacks error handling or edge-case details, but these are not critical for a straightforward metadata update 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?

Schema description coverage is 0%, so the description must compensate. The 'Args' section explains each parameter (table_name, column_name, description) clearly and matches the schema. The example further clarifies the expected values. This fully addresses the lack of schema-level descriptions.

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 states the exact action: 'Set or update the description (comment) for a column.' The verb 'set or update' is specific and the resource (column description) is clearly identified. It distinguishes itself from sibling tools like set_column_display_name or set_table_description by focusing on the description comment.

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 clearly implies when to use the tool—when you need to set or update a column's description. However, it does not explicitly mention when not to use it or list alternative tools (e.g., set_table_description for tables, set_column_display_name for display names). The example provides a concrete use case, but no exclusions or alternatives are given.

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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