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IRIS MCP Blueprint

by pietrodileo

fetch_data

Execute SQL queries to retrieve data from the database, returning results in a table format.

Instructions

Execute SQL and return results as a table. For DDL/DML with no result set, returns a short status line. Args: ctx: The context of the tool call. sql: The SQL query to execute. parameters: The parameters to pass to the SQL query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes
parametersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Mentions DDL/DML behavior and status line, but does not explicitly disclose side effects or permissions needed, relying on the agent's general knowledge.

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?

Concise, front-loaded purpose, but includes 'ctx' not in schema which is a minor distraction.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers basic I/O and DDL/DML case, but lacks guidance on when to use vs siblings and no error handling info.

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?

Adds basic meaning to sql and parameters beyond schema types, but lacks detail on parameter format or constraints; coverage is 0% so description compensates partially.

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 executes SQL and returns a table, distinguishing it from siblings like insert_data or create_index which are more specific.

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 on when to use this tool versus alternatives like insert_data or create_index; the description simply defines behavior without context.

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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