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IRIS MCP Blueprint

by pietrodileo

create_index

Creates a database index on a specified table column to accelerate query performance and reduce response times.

Instructions

Creates a standard index to speed up queries. Args: ctx: The context of the tool call. table_name: The name of the table to create the index on. column_name: The name of the column to create the index on. index_name: The name of the index to create. table_schema: The schema of the table to create the index on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYes
column_nameYes
index_nameNo
table_schemaNoSQLUser

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must carry the burden. It does not disclose behavioral traits such as error handling on duplicate indexes, required permissions, or performance implications. It only implies a write operation.

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

Conciseness3/5

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

The description is short but includes redundant parameter repetition that could be handled by the schema. The inclusion of 'ctx' adds noise. It is front-loaded with the purpose, but the structure could be tighter.

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?

Given the tool's complexity (4 parameters, no annotations), the description is insufficient. It omits crucial context such as return value behavior, error scenarios, and whether the operation is idempotent. The presence of an output schema reduces the burden for return values, but behavioral gaps remain.

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

Parameters3/5

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

Schema coverage is 0%, so the description must explain parameters. It lists each parameter with a brief explanation (e.g., 'The name of the table to create the index on'), which adds value beyond the schema's type-only definitions. However, it lacks details on defaults, constraints, or formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Creates a standard index') and the purpose ('to speed up queries'). It is specific enough to distinguish from sibling tools, which are mostly about production items, globals, and data manipulation.

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 usage guidance is provided. The description does not indicate when to use this tool vs alternatives, nor does it mention prerequisites or scenarios where other tools are preferable.

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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