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InterSystems IRIS MCP Server

InterSystems IRIS MCP Server

by caretdev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

interoperability_production_queues

Retrieve queues for InterSystems IRIS Interoperability Productions to monitor and manage message flow.

Instructions

Get Interoperability Production queues

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "interoperability_production_queues"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "result": {
+      "title": "Result",
+      "type": "string"
+    }
+  },
+  "required": [
+    "result"
+  ],
+  "title": "interoperability_production_queuesOutput",
+  "type": "object"
+}
  2. First observed

TDQS

C2.7/5.0
Behavior1/5

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

With no annotations, the description carries full responsibility for disclosing behavioral traits. It does not mention side effects, authentication requirements, rate limits, or the nature of the returned data (e.g., a list of queue names with metadata). This is a critical gap for an API 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 is a single, grammatically correct sentence with no wasted words. It is appropriately short for a simple getter tool, though it could be slightly more informative without losing conciseness.

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?

Despite having no parameters and an output schema, the description fails to provide any context about the output: what data the queues contain, their structure, or how they relate to other tools. A complete description should at least hint at the return format or typical use.

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?

The tool has zero parameters and 100% schema description coverage trivially. The description adds no parameter information, which is acceptable since no parameters exist. The baseline score of 3 applies.

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 'Get Interoperability Production queues' clearly specifies a read operation on the 'interoperability_production_queues' resource, distinguishing it from sibling tools with verbs like create, start, stop. However, it lacks detail on what exactly 'queues' are, but the purpose is clear.

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 provided on when to use this tool versus the many sibling tools. There is no mention of prerequisites, typical use cases, or situations where alternative tools (e.g., logs, status) 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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