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Site analytics

op_analytics
Read-only

Only for the Awning team. How the website is doing over the last days. people: visitors in browsers from Umami — totals against the previous period, top pages, sources, channels, countries, devices, and events such as lead_form_started / lead_form_field / lead_form_submitted (how far people get with the business form). all_visits: every page served, counted on our server and split into people, assistants and crawlers — assistants do not run scripts, so only this part shows them. When summarising, compare with the previous period and name the share of assistants. Use it for questions about traffic, sources and how far people get with the business form.

Input Schema

NameRequiredDescriptionDefault
daysNoHow many days back, 1 to 365. Default 14.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / days / description
      Added value: +"How many days back, 1 to 365. Default 14."
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With readOnlyHint already covering safety, the description adds substantial behavioral context: Umami visitor data versus server-side all_visits, the people/assistants/crawlers split, and the fact that assistants do not run scripts. It also instructs comparison against the previous period, which is valuable analytical behavior not captured by annotations.

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 restriction and purpose are front-loaded, and the data-source sections are useful rather than filler. The final use-case sentence partly repeats what the earlier description already established, and the long 'people:'/'all_visits:' sentences could be more clearly structured.

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 tool with no output schema, the description adequately covers what data categories are returned and how people versus all_visits differ. It could be clearer about whether both sections are always returned together, but an agent has enough to call and interpret it 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?

There is only one parameter and schema coverage is 100%, so the schema already explains the days range and default. The description only implies a lookback window through 'over the last days' and 'previous period', adding little beyond the parameter 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?

The description states a precise resource and scope: website performance over the last days, restricted to the Awning team. It names concrete analytics dimensions such as sources, channels, devices, and lead-form events, making it unmistakable among the booking and business-management siblings.

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 gives a hard eligibility rule ('Only for the Awning team') and explicit use cases ('questions about traffic, sources and how far people get with the business form'). It does not name alternative tools, but no sibling appears to overlap with this analytics purpose.

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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