Skip to main content
Glama
yunusemregul

dynatrace-bridge-mcp

by yunusemregul

list_dashboards

Find Dynatrace dashboards by name, owner, or tags, with optional limit and environment. Returns IDs, owners, modification times, and tags for follow-up queries.

Instructions

Lists the Dynatrace dashboards visible to the user: id, name, owner, last modification and tags. Filter with text (matches name, owner and tags).

Follow up with get_dashboard (id or name) to see the tiles and the metric selectors behind the charts.

This tool runs through the Dynatrace Bridge browser extension in the user's logged-in browser. If it fails, report the error to the user; do not try to open browser tabs or use browser automation instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoOnly dashboards whose name, owner or tags contain this text (case-insensitive).
limitNoMaximum number of dashboards to print. Default 50, at most 300. The output says how many were omitted.
environmentNoWhich Dynatrace environment to query, as named in the Dynatrace Bridge extension popup. Omit it for the default, the first environment configured there. The names are not listed here because the extension had not connected yet when this description was built; `dynatrace_bridge_status` lists them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses that the tool runs through the Dynatrace Bridge browser extension in the user's logged-in browser, tells the agent to report errors rather than open tabs, and forbids browser automation. It does not explicitly state read-only semantics, but 'lists... visible to the user' implies it.

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?

Three short paragraphs, front-loaded with purpose, then the follow-up tool, then the runtime caveat. Every sentence earns its place and nothing is redundant.

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?

There is no output schema, but the description compensates by listing the returned fields, and the environment parameter's discovery path (dynatrace_bridge_status) is documented in the schema. Limit/pagination semantics live in the schema rather than the description, which is acceptable but leaves the description slightly short of fully self-contained.

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?

Schema description coverage is 100%, so the schema already documents text, limit and environment. The description repeats the `text` matching behavior (name, owner, tags) without adding syntax or format beyond the schema, so the baseline of 3 applies.

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?

States a specific verb and resource ('Lists the Dynatrace dashboards visible to the user') and enumerates the returned fields (id, name, owner, last modification, tags). It clearly differentiates itself from sibling get_dashboard by describing what that tool adds (tiles, metric selectors).

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?

Routes the agent explicitly to get_dashboard as the follow-up when tiles/metric selectors are needed, and explains how the `text` filter behaves. It gives clear usage context but no explicit when-not-to-use condition or a competing list-type sibling to avoid.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.