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jagalliers

appd-mcp

by jagalliers

Discover AppDynamics metric paths

appd_get_metric_hierarchy

Explore the metric hierarchy of an AppDynamics application. Retrieve top-level metric folders or drill into specific paths to view child metrics.

Instructions

Walk the metric hierarchy for one application. Without metricPath returns top-level folders; with metricPath returns the children at that level. Cached for 5 minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
applicationYes
metricPathNoOptional metric path to drill into, e.g. "Overall Application Performance|Average Response Time (ms)". Use the literal "|" character; the tool encodes it correctly. Leave unset to list root nodes. Max 2048 chars.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
summaryYes
evidenceNo
entitiesYes
timeRangeNo
sourceEndpointsYes
paginationNo
warningsYes
truncatedYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses caching behavior (5 minutes) and explains the dual behavior based on parameter presence. It does not cover error conditions or rate limits, but given the missing annotations, it does reasonably well.

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 extremely concise—two sentences that pack essential information. No wasted words, and the purpose 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 tool has only 2 parameters (1 required) and an output schema exists, the description covers the core behavior and caching. It could mention pagination or error handling, but for a hierarchy-walking tool, it is sufficiently complete.

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 description coverage is 50%. The description adds meaningful context for the metricPath parameter, including an example and clarification on encoding. The application parameter is well-documented in the schema, so the description does not need to add more.

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 the tool 'walks the metric hierarchy' for one application and distinguishes behavior based on whether metricPath is provided: returns top-level folders without it, children at that level with it. This differentiates it from sibling tools like appd_query_metrics.

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 explicitly tells when to use the tool with and without the metricPath parameter. It does not mention when not to use it or suggest alternatives, but the context is clear enough for an agent to decide.

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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