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asafkiv

AppDynamics MCP Server

by asafkiv

Get Backends / Remote Services

appd_get_backends
Read-onlyIdempotent

List all backend dependencies (databases, HTTP APIs, caches, message queues) for an application. Filter by exit point type to troubleshoot slow remote services.

Instructions

List all backend (remote service) dependencies detected for an application.

Backends are external services your application calls — databases (JDBC), HTTP APIs, caches (Redis, Memcached), message queues (JMS, Kafka), etc.

This is one of AppDynamics' most powerful features for dependency mapping and troubleshooting. Slow backends are a common root cause of application performance issues.

Args:

  • application (string|number): App name or ID

  • typeFilter (string, optional): Filter by exit point type (e.g., "HTTP", "JDBC", "CACHE")

Returns: Array of backends with id, name, exitPointType, and connection properties.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeFilterNoOptional: filter backends by exit point type (e.g., 'HTTP', 'JDBC', 'CACHE', 'JMS'). Case-insensitive.
applicationYesApplication name or numeric ID.
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds context about types of backends (databases, HTTP, etc.) and the return format, providing additional behavioral clarity beyond annotations.

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 well-structured with a clear purpose, bulleted args, and return format. Every sentence adds value without redundancy.

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 there is no output schema, the description adequately specifies the return structure. However, it lacks details on pagination or limits, which would be helpful but not critical for a simple list tool.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by providing examples (e.g., 'HTTP', 'JDBC', 'CACHE') for typeFilter and clarifying that application accepts name or ID.

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 uses a specific verb ('List') and resource ('backend dependencies'), and clearly distinguishes from sibling tools (like get_business_transactions) by stating it lists external services called by the application.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for dependency mapping and troubleshooting backend slow performance, but does not explicitly state when not to use this tool or provide specific alternatives.

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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