Skip to main content
Glama
yunusemregul

dynatrace-bridge-mcp

by yunusemregul

slow_statement_executions

Identify slow SQL executions on a database service with this tool: lists them slowest first, including duration, rows, fetches, and trace IDs to debug performance bottlenecks.

Instructions

Lists the slow executions of one SQL statement on a database service, slowest first: start time, duration, rows returned, fetches, and the traceId and callURI of the trace each execution belongs to.

Pass service (the database service, id or name), statement (id from top_database_statements, or a part of the SQL text) and optionally response_time_min_ms (default 100). 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 get_trace, passing the traceId and callURI of a row as trace_id and call_uri, to see the request that issued the statement and everything else it did.

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 executions to print. Default 20, at most 200. The output says how many were omitted.
failedNotrue = only failed requests, false = only successful requests. Omit for both.
serviceYesThe database 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').
statementYesThe SQL statement: its SERVICE_METHOD-… id as printed by `top_database_statements`, or a part of its text (several matches return the candidates).
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 executions that took at least this many milliseconds. Default 100.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.1/5.0
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 well: it discloses the default response_time_min_ms of 100, that a name matching several entities returns candidates instead of guessing, and the operational constraint that the tool runs through the Dynatrace Bridge browser extension with explicit failure handling ('report the error to the user; do not try to open browser tabs'). It omits any auth/permission requirements, which keeps it 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?

Front-loaded with the purpose and output shape, then the necessary inputs, then the follow-up and the browser-extension caveat. The middle sentence enumerating ten shared trace filters duplicates the schema and is the one slightly wasteful element, but overall it is tight and well ordered.

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 a 17-parameter tool with no output schema, the description compensates by naming the columns returned and the ordering, plus the follow-up tool and the runtime environment caveat. Nothing critical is missing for correct invocation.

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 all 17 parameters in detail. The description restates only the required trio and the default of response_time_min_ms, adding little beyond the schema; baseline 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?

The first sentence gives a specific verb and resource ('Lists the slow executions of one SQL statement on a database service'), states the ordering ('slowest first'), and enumerates the returned columns. It is clearly distinguishable from siblings such as top_database_statements and statement_callers.

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?

It states the required inputs, tells the agent where the statement id comes from ('id from `top_database_statements`, or a part of the SQL text'), and prescribes the follow-up step via get_trace with the returned traceId/callURI. It does not explicitly contrast itself with statement_callers or top_database_statements, but the context is otherwise clear.

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