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Performance-Befunde anzeigen

get_performance_findings
Read-only

Beantwortet "was genau bremst meine Seite?" — die Einzelbefunde des ZULETZT TATSÄCHLICH GELAUFENEN turbometrics-Scans, mit Handlungsempfehlung je Punkt (Bilder, JS-Last, Caching, Server-Antwortzeit) und dem Gesamtwert eben dieses Scans. Die Scanliste wird dafür im Moment der Abfrage gelesen, ein über start_performance_scan angestoßener Lauf erscheint hier also als erstes; der zwischengespeicherte Wert aus dem nächtlichen Bericht steht dagegen in get_performance_score, weshalb beide Zahlen auseinanderliegen können. Kennt turbometrics die Domain nachweislich nicht, sagt die Antwort das als fehlende Aktivierung. Ließ sich das nicht ermitteln, sagt sie GENAU DAS — ein solcher Messausfall ist weder "nicht aktiviert" noch eine Entwarnung. Offene Warnungen aus der laufenden Überwachung: get_performance_alerts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDie Domain, z. B. example.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only cover safety (readOnly/destructive=false); the description adds real behavioural context beyond that: the scan list is read live at query time (hence ordering effects), the two numbers can diverge, missing domain knowledge is reported as missing activation, and — importantly — an indeterminate measurement is reported as exactly that, explicitly warning the agent not to read it as 'not activated' or as an all-clear.

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 core question it answers, then layers in the sibling distinctions and failure semantics. Nearly every sentence earns its place, though the conversational framing adds some length for a single-parameter read tool.

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?

For a one-parameter read tool with no output schema, the description covers purpose, sibling boundaries, live-read timing effects, and the three-way outcome semantics (findings / not activated / indeterminate) that an agent needs to interpret the response correctly.

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?

Only one parameter (domain) and schema description coverage is 100%, so the schema already carries the meaning. The description adds no format or syntax detail about the domain argument, so the 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?

States a specific verb and resource: the itemised findings (Einzelbefunde) of the LAST ACTUALLY RUN turbometrics scan, each with a recommended action, plus that scan's overall value. It also names the two siblings it is not — get_performance_score (cached nightly value) and get_performance_alerts (open monitoring warnings).

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 explains the condition under which this differs from get_performance_score, notes that a run triggered via start_performance_scan will appear here first, and routes the agent to get_performance_alerts for open warnings. When/when-not/alternatives are all present.

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

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