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yunusemregul

dynatrace-bridge-mcp

by yunusemregul

list_service_requests

List a service's requests (endpoints, SQL statements, hosts) with per-row metrics to identify slow, costly, frequent, or failing requests. Filter by time, response time, HTTP code, and more.

Instructions

Lists what one service does, with metrics per row: call count, average / median / p90 / max response time, total time, failure rate and HTTP 4xx / 5xx counts. For a web or method service the rows are its requests (endpoints, jobs); for a database service they are its SQL statements; for a "Requests to unmonitored hosts" service they are the target hosts.

Use it to see which endpoint of a service is slow (sort: "avg" or "p90"), costs the most time ("total_time", the default), is called most ("calls") or fails ("failure_rate"). For the same question across all services use trace_statistics; for cron jobs cron_job_statistics. Every row prints its id and name; the other tools take either one as request. The shared filter arguments narrow the requests that are counted, e.g. response_time_min_ms: 2000 or failed: true. service is an id or a name; find services with list_services.

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
sortNoRanking of the rows, highest first (name: A to Z). Default total_time.
limitNoMaximum number of rows to print. Default 25, at most 200. 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.
serviceYesThe service, as an entity id (SERVICE-1234567890ABCDEF) or a name. A name that matches several entities returns the candidates instead of guessing.
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.
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

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose a genuinely non-obvious execution trait: the tool runs through the Dynatrace Bridge browser extension in the user's logged-in browser, with explicit failure handling (report the error, do not open tabs or use browser automation). It also describes row content and that output states omitted rows. It does not cover auth/permissions or rate limits, so it falls short of a 5.

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?

Four tight paragraphs, front-loaded with what it lists and what sort to use; the browser-extension caveat is correctly placed last. Slight redundancy with the schema (re-listing sort criteria that are already an enum) costs it a point.

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?

For an 18-parameter tool with no output schema and no annotations, the description covers row composition, per-service-type row semantics, the required `service` lookup path, and the extension dependency. Missing details are minor and schema-covered (limit/pagination, time-window defaults), so it is nearly 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 coverage is 100%, so a 3 is the baseline. The prose still adds meaning the schema cannot: the default sort and why each sort value matters, the cross-tool contract that a printed row id or name can be passed as `request` by other tools, and how `service`/`request` resolve by name vs id. That is real semantic value on top of the schema.

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 (list the requests/statements/hosts of one service) and immediately defines what a 'row' means for web/method, database, and 'Requests to unmonitored hosts' services. It explicitly differentiates itself from trace_statistics, cron_job_statistics and list_services, so an agent can route without opening siblings.

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?

Gives concrete when-to-use guidance tied to the sort argument ('which endpoint is slow', 'costs the most time', 'fails'), names the alternative for the cross-service question (trace_statistics) and for cron jobs (cron_job_statistics), and points to list_services for discovering the required `service` value.

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