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Get analytics overview

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Read-only

Reads one website's performance for a time window: chats, bookings, funnel, containment and deflection rates, CSAT, escalations and token use, each with the change against the previous window. Counts only conversations where the visitor did something.

Input Schema

NameRequiredDescriptionDefault
siteNoA site id from list_sites. Runs this call on that website instead of the connection default.
rangeNoWindow, compared with the one before it.30d

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish readOnly, non-destructive, closed-world behavior, so the description is free to add real value: it discloses the comparison-to-previous-window semantics and the filtering rule that only conversations with visitor activity are counted. It stops short of noting any latency, rate limits, or auth requirements.

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?

Two tight sentences with no filler; the resource and scope come first and the counting caveat is appended as a qualifier rather than buried.

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 usefully enumerates the metrics returned (chats, bookings, funnel, containment/deflection, CSAT, escalations, token use) plus the delta-versus-previous-period behavior, which is enough for an agent to know what it gets back; the exact response shape is left implicit.

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 both parameters are already documented (including the site-id pointer to list_sites and the range enum with its prior-window comparison). The description restates the time-window concept without adding format or edge-case detail, so 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 (reads) and resource (one website's performance over a time window) and enumerates the exact metrics returned, so an agent can distinguish this from conversation- or visitor-level siblings at a glance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the name and the metric list, and the scope note ("counts only conversations where the visitor did something") hints at the right context, but the description never says when to prefer this over get_inbox_counts or list_conversations, nor names any exclusions.

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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