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Show Webinar Histograms

get_webinar_histograms
Read-onlyIdempotent

Fetch per-time-bucket webinar engagement counts for attendees, chat activity, and visual focus to render engagement visualizations.

Instructions

Retrieve engagement histogram data for a webinar. Returns arrays of per-time-bucket counts for attendees, chat activity, and visual focus, useful for rendering engagement visualizations.

Requires api token with one of the following permissions

Read detailed stats

Tokens with the "Act with a team member's permissions" permission (all:delegate_to_contact_permissions scope) can also be used. Requests made with such a token are authorized using the permissions of the contact assigned to the token. Read-only account operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoNamed private Wistia account; selects credentials, not a remote account ID.
webinar_idYesThe hashed ID of the webinar.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, openWorld, and the description reinforces 'Read-only account operation.' It goes beyond them by naming the required permission scopes ('Read detailed stats', delegated-token behavior) and describing the return structure (arrays of per-time-bucket counts), which is genuine added value.

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 payload sentence is front-loaded and dense with useful detail, and the permission block follows logically. It is somewhat verbose with the fenced permission boilerplate, but no sentence is truly 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?

For a read-only stats tool with no output schema, the description compensates by describing the return shape (per-time-bucket arrays) and the auth requirements. The main residual gap is the lack of sibling differentiation against other webinar analytics tools.

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%, with both 'account' and 'webinar_id' fully documented in the schema. The description adds no syntax, format, or semantics beyond that, so the baseline 3 applies.

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?

Specific verb ('Retrieve') plus resource ('engagement histogram data for a webinar') and concrete contents (per-time-bucket counts for attendees, chat activity, visual focus). However, it does not distinguish itself from siblings like get_webinar_analytics, get_webinar_traffic_breakdown, or get_webinar_registration_timeseries, which an agent could easily confuse it with.

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?

The phrase 'useful for rendering engagement visualizations' implies the intended usage context, and the permission requirements are spelled out. But there is no explicit when-to-use guidance and no mention of alternative webinar analytics tools an agent should pick instead.

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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