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mnmozi

Dynatrace SaaS MCP Server

by mnmozi

list_feature_projects

List all feature management projects in Dynatrace to view and manage project configurations.

Instructions

List all Feature Management projects (Dynatrace Feature Management API). Requires feature-management:projects:read scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It states 'list all' implying read-only, but lacks details on pagination, limits, or ordering. Adequate but not thorough.

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?

Single sentence delivering essential information: purpose, API context, and required scope. No unnecessary words.

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?

No output schema exists, so description should clarify return format (e.g., list of project IDs or objects). It only says 'list all projects', leaving response structure vague. Adequate for a simple list but could be more complete.

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

Parameters5/5

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

The tool has no parameters; schema coverage is 100% (empty). Description adds no parameter info, which is appropriate since none exist. No additional explanation needed.

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 lists all Feature Management projects, specifying the API and required scope. It distinguishes itself from CRUD siblings like get_feature_project, create_feature_project, etc.

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

Usage Guidelines3/5

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

Mentions required scope but does not provide explicit guidance on when to use this tool versus alternatives (e.g., get_feature_project for a single project). Usage context is implied but not elaborated.

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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