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Timeline events

timeline_events
Read-only

Dated events on the site's history timeline: measures the user logged themselves, completed quests, fixed issues, ticked plan steps, CMS edits, detected wins, scans and Google ranking updates (core, spam …) with their rollout dates. Use it to explain why a curve moved, what was changed when, or whether a measure worked; pair it with traffic_trend. Free domains only get the last 28 days. Responses follow the account language (German by default).

Input Schema

NameRequiredDescriptionDefault
pathNoOnly events of this page (plus site-wide ones).
kindsNoOnly these kinds. Omit for all except scans.
windowNoWindow, defaults to 90d.
domainIdYesDomain id of one of the user's projects, as returned by list_domains.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The readOnlyHint annotation already establishes safety, but the description adds meaningful behavioral context: free domains only receive the last 28 days of events, and responses follow the account language (German by default). It does not describe ordering or pagination, but for a read-only timeline tool the added constraints are substantial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with what the tool returns, followed by when to use it, then concise constraints. The event-type list is dense but each item clarifies scope, and no sentence is wasted.

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?

With no output schema, the description does a good job explaining the returned event types, rollout dates, account language, and free-domain retention limit. It does not state ordering, pagination, or result size behavior, which would be useful for an event-timeline retrieval tool, but the core semantics are covered.

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 input schema already documents domainId, path, kinds, and window with descriptions and an enum. The description's mention of event types and the free-domain 28-day limit is helpful but does not add syntax or filtering semantics beyond what the schema provides.

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 description states a specific resource and scope: dated events on the site's history timeline, with an enumerated list of event types including manual measures, quests, issues, CMS edits, wins, scans, and Google updates. It also distinguishes itself from traffic_trend by positioning itself as the explanatory companion, so an agent can tell what it retrieves without opening the schema.

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?

The description gives clear usage contexts: explain why a curve moved, what changed when, or whether a measure worked, and pair it with traffic_trend. It does not explicitly state when not to use it or name an alternative to use instead, so it falls short of full when/when-not guidance.

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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