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yunusemregul

dynatrace-bridge-mcp

by yunusemregul

top_exceptions

Identify which exception classes occur most in traced requests, across the environment or a single service, with counts and aggregates to guide debugging.

Instructions

Ranks the exception classes thrown in traced requests (Dynatrace multidimensional analysis "Exceptions overview"): per class the number of exceptions, Dynatrace's LOAD, AVERAGE and MAX aggregates of the exception count (read as: requests that had the exception, average and maximum per such request; that reading is not verified, so the columns keep Dynatrace's names), and, when no service is given, the services that throw it most with their ids.

Start here for "which exceptions occur most". Call it without service for the whole environment, or with service (id or name) for one service. The shared trace filters (response_time_min_ms, response_time_max_ms, http_code, failed, http_method, request, request_group_id, url_contains, request_kind, raw_filters) narrow the analysed requests. Follow up with analyze_failures on a service that throws the exception (not every exception fails a request), or list_traces with raw_filters: [{ type: "EXCEPTION", values: ["<class>"] }] for traces containing it.

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
limitNoMaximum number of exception classes to print. Default 20, 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.
serviceNoOptional: only this 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.
services_per_classNoWithout `service`: how many services are named per exception class. Default 3, at most 20.
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?

No annotations, so the description carries the full burden and does well: it discloses the browser-extension/logged-in-browser execution path, the failure-handling rule (report to user, no browser automation), the unverified reading of the Dynatrace aggregate columns, and that omitted classes are reported in the output. It does not explicitly state that the call is read-only, but 'ranks analysed requests' makes that clear in context.

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 purpose, then usage/routing, then execution caveat — a logical order. The first paragraph is dense and the aggregate-column caveat is wordy, but every sentence carries information an agent needs; no filler.

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 supplies the result shape (classes, count, aggregates, top services with ids), the scoping rules and the failure mode. Remaining per-parameter detail is fully covered by the schema, so the definition is complete enough to call correctly.

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 the baseline is 3; the description nonetheless adds value beyond the schema by enumerating the shared trace-filter set, clarifying the service/no-service branch, and explaining the meaning of the aggregate columns the parameters feed into. Marginal but real lift over the already-thorough 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 — 'Ranks the exception classes thrown in traced requests' — and immediately qualifies the notion of 'top' by naming the aggregates used (LOAD, AVERAGE, MAX). This is clearly distinguishable from siblings like analyze_failures, list_traces and top_database_statements.

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 positions itself as the entry point ('Start here for which exceptions occur most'), states the no-service vs with-service branches, and names two concrete follow-ups (analyze_failures for a failing service, list_traces with raw_filters for the traces). Nothing is left to inference.

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