Skip to main content
Glama
yunusemregul

dynatrace-bridge-mcp

by yunusemregul

list_traces

List individual Dynatrace traces to find slow or failed requests by service, time, HTTP code, or URL, then open a trace for details.

Instructions

Lists individual traces (PurePaths): the requests of one service, or of the whole environment when service is omitted. Use it to find concrete slow or failed requests, then open one with get_trace.

Filters: response time range, HTTP code or class, failed state, HTTP method, one request (request: name or id, with service), a request group, URL text (url_contains, web requests only, works without service), request kind, plus raw_filters. Per trace: start time, request name, method + URL, HTTP code, failed flag, response / CPU / wait / suspension time, database call count and time, downstream service calls, exception classes, request attributes (secret-looking ones masked), and the traceId + callURI that get_trace needs.

Dynatrace returns the newest matching traces (fetch_limit of them, 100 by default, at most 3000); this tool then sorts those and prints limit of them (25 by default, at most 100). So "slowest" means the slowest among the fetched newest traces: when the output says Dynatrace returned its limit, narrow the window or the filters (e.g. response_time_min_ms) or raise fetch_limit. Default order: slowest first when a response time filter is given, newest first otherwise. A warning line appears when the window is only partly covered or traces are sampled.

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
sortNoOrder of the output. Default: slowest when a response time filter is given, newest otherwise.
limitNoMaximum number of traces to print. Default 25, at most 100. The output says how many were omitted.
failedNotrue = only failed requests, false = only successful requests. Omit for both.
requestNoOne request (endpoint, SQL statement, job) of `service`: its name or a part of the name (e.g. '/cart/checkout'), or its SERVICE_METHOD-… id. A name is looked up among the requests of `service` (one extra request), so it needs `service`; several matches return the candidates instead of guessing. An id works without a lookup.
serviceNoThe service whose traces to list, as an entity id (SERVICE-1234567890ABCDEF) or a name. A name that matches several entities returns the candidates instead of guessing. Omit for the whole environment.
time_toNoAbsolute end time, ISO 8601; without a zone it is read as UTC. Without time_from, the window starts minutes_lookback before this. Must not be in the future.
http_codeNoHTTP response code filter: one code ('404'), a class ('4xx', '5xx') or a range ('400-599').
time_fromNoAbsolute start time, ISO 8601 (e.g. '2026-09-23T10:28:00Z'). A timestamp without a zone (Z or ±hh:mm) is read as UTC. Without time_to, the window runs from here to now. Must not be in the future.
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.
fetch_limitNoHow many of the newest matching traces Dynatrace returns before this tool sorts them (its purepathsLimit, at most 3000). Default: 100, or `limit` when that is larger. Raise it to rank a busy window more completely; it does not change how many are printed.
http_methodNoHTTP method of the request.
raw_filtersNoEscape hatch for servicefilter types without a dedicated argument. Each entry is {type, values}; type is a numeric id or one of CPU_TIME, CALL_INSTANCE_ID, CALL_TREE, CALL_URI, CALL_TAG, WAIT_TIME, SYNC_TIME, SUSPENSION_TIME, CALLEE, CALLER, PROXY, SERVICE_ID, EXCEPTION, DATABASE_STATEMENT, DATABASE_TABLE, FLAWS, DISK_IO_TIME, NETWORK_IO_TIME, NUMBER_OF_DB_CALLS, NUMBER_OF_NON_DB_CALLS, TIME_SPENT_IN_DB_CALLS, TIME_SPENT_IN_NON_DB_CALLS, TRACE_ID, THREAD_NAME, PROCESSING_TIME, DATABASE_VENDOR, DATABASE_NAME, ENTITY_TAG, PG_NAME, PG_TAG, DATABASE_ROW_COUNT, DATABASE_FETCH_COUNT, WEBREQUEST_HOSTNAME, KEY_REQUEST, RELEASE, BUILD, STAGE, PRODUCT, SPAN_NAME, SPAN_ATTRIBUTE, ENTRY_POINT. Value formats of these types are not verified; time values are microseconds.
request_kindNoweb = only requests of web request and web services (HTTP endpoints, including calls to unmonitored hosts); database = only SQL statements. Omit for every kind (also background activity, custom and messaging services).
url_containsNoOnly web requests whose URL contains this text. The quick way to filter by a URL path fragment (e.g. '/checkout') without knowing the service or the request: it works with or without `service`. It matches nothing for non-web requests (SQL statements, cron jobs, messaging, custom services), which have no URL; use `request` for those.
minutes_lookbackNoWindow length in minutes. Default 120. With neither time_from nor time_to it means the last N minutes up to now; with only time_to it means the N minutes ending at time_to; ignored when time_from is given. The response header always shows the resolved absolute UTC window.
request_group_idNoA request type as a SERVICE_METHOD_GROUP-… id. For a 'Requests to unmonitored hosts' service this id is the target host (printed by list_service_requests; there the host name can also be passed as `request`).
request_group_nameNoDisplay name belonging to request_group_id, exactly as printed next to the id. Pass it together with request_group_id.
response_time_max_msNoOnly requests whose response time is at most this many milliseconds.
response_time_min_msNoOnly requests whose response time is at least this many milliseconds.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.8/5.0
Behavior5/5

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

No annotations, so the description carries the full burden—and it does: it explains the browser-extension execution model, the fetch_limit-then-sort two-stage retrieval, the 'slowest among newest fetched' caveat, default ordering, partial-window/sampling warnings, and the 'do not use browser automation' failure path. This is exactly the non-obvious behavior an agent needs.

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?

Front-loaded with the purpose, then filters, then per-trace fields, then the retrieval-limit mechanics, then the bridge runtime caveat. Dense but every block earns its place; it could be trimmed slightly (some per-trace fields enumerated) but no sentence is pure filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 19 params, no output schema, and no annotations, the description covers the return shape (list of trace fields including the traceId/callURI get_trace needs), the tricky fetch_limit/limit interaction, and the execution environment. An agent has everything needed to call it correctly and interpret results.

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 already 100% (baseline 3), but the description adds cross-parameter semantics that the schema does not: e.g. 'request name needs service', 'url_contains works with or without service', 'minutes_lookback is ignored when time_from is given', and the fetch_limit vs limit distinction. These add genuine value beyond field-level docs.

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?

Starts with a specific verb+resource ('Lists individual traces (PurePaths)') and scopes it precisely ('requests of one service, or of the whole environment when service is omitted'). It also name-drops the sibling get_trace as the follow-up, distinguishing it from trace_statistics and analyze_* tools.

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

Usage Guidelines5/5

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

Explicitly states when to use it ('find concrete slow or failed requests, then open one with get_trace') and the description enumerates the alternative filters and quirks (url_contains vs request for non-web) in the param docs. Routing is unambiguous for the main follow-up tool.

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