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What changed

what_changed
Read-only

Notable movements in the period without scanning raw numbers: statistically unusual traffic days, referrer surges and first-time referrers, pages whose share of traffic jumped, alongside the annotations recorded in the same period. period: '7d' default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteNothe site's data-site code, from its script tag or list_sites. Omit when the account has a single site. In a tracked project, read the code from the script tag before asking the user.
periodNorelative period like '24h', '7d' (default), '4w'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
siteYes
periodYes
findingsYes
annotationsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already mark the tool read-only, and the description adds useful behavioral context about the kind of analysis performed: statistical unusualness, referrer surges, first-time referrers, and share-of-traffic jumps. It discloses the summarization behavior without contradicting the readOnlyHint.

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?

The description is a compact, front-loaded summary with a concrete list of what the tool surfaces. The trailing 'period: 7d default' is slightly redundant with the schema, but the overall size is appropriate.

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?

Given an output schema and fully documented parameters, the description is sufficient for an agent to know what this tool returns and when to call it. It could be more complete with explicit sibling guidance, but nothing essential appears missing.

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 both parameters. The description only repeats the period default and adds no new parameter semantics beyond what the schema provides; the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (notable movements in a period) and spells out concrete output categories: unusual traffic days, referrer surges, first-time referrers, pages with jumped share, and recorded annotations. It does not use an explicit verb and does not call out a sibling differentiation, so it stops short of 5.

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 phrase 'without scanning raw numbers' gives the agent clear context for when this digest-style tool is appropriate versus looking at raw data. It does not explicitly name alternatives or state when not to use it, but the intended use case is reasonably clear.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct resources or analytic questions: site CRUD, annotation handling, overviews, funnels, journeys, and diagnostic checks are separated. A few tools like get_overview, query, and what_changed could overlap when asking 'what happened', but their descriptions differentiate the intended use well.

Naming Consistency3/5

The CRUD tools follow a clean verb_noun pattern (create_site, delete_site, list_sites, update_site_context), but analysis tools mix bare nouns (funnel, journeys), bare verbs (query), adverb-verb compounds (compare_around), and what_* question phrases (what_broke, what_changed). Naming is readable and snake_case is consistent, but the overall convention is not uniform.

Tool Count5/5

15 tools is within the well-scoped range and each tool earns its place: site management, annotation tracking, traffic overview, discovery, diagnostics, and comparison all have dedicated tools. There is no obvious redundancy or padding.

Completeness4/5

The surface covers the core domain well: sites can be created, listed, deleted, and contextualized; annotations can be recorded and listed; analytics support overview, breakdown, funnel, journey, and anomaly questions. Minor gaps exist such as no update/delete for annotations and no single-site getter separate from list_sites, but agents can work around these.