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get_broadcast_analytics

Read-only

Return engagement analytics for a broadcast: delivery breakdown by status plus per-message-block sent and clicked counts for its flow, over an optional date window. Read-only. Sent counts reflect messages attempted, not confirmed deliveries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoEnd of the reporting window, same format as startDate. Defaults to now.
startDateNoStart of the reporting window, as a date string parsable by Date (ISO 8601 such as "2026-07-01" or "2026-07-01T00:00:00Z" is safest). Defaults to the broadcast's creation time.
broadcastIdYesRequired. Broadcast id, as returned by list_broadcasts.
applicationIdNoApplication (workspace) id. Optional: an application-scoped key (app_...) defaults to its own application, but a personal key (usr_...) has no default and omitting it fails with MCP_APPLICATION_REQUIRED. Call list_applications to get the id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / applicationId / description
      Added value: +"Application (workspace) id. Optional: an application-scoped key (app_...) defaults to its own application, but a personal key (usr_...) has no default and omitting it fails with MCP_APPLICATION_REQUIRED. Call list_applications to get the id."
    • addedInput schema / properties / broadcastId / description
      Added value: +"Required. Broadcast id, as returned by list_broadcasts."
    • addedInput schema / properties / endDate / description
      Added value: +"End of the reporting window, same format as startDate. Defaults to now."
    • addedInput schema / properties / startDate / description
      Added value: +"Start of the reporting window, as a date string parsable by Date (ISO 8601 such as \"2026-07-01\" or \"2026-07-01T00:00:00Z\" is safest). Defaults to the broadcast's creation time."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Beyond annotations (readOnlyHint=true), the description adds important behavioral nuance: 'Sent counts reflect messages attempted, not confirmed deliveries.' This clarifies the meaning of the returned data.

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 concise (two sentences plus a clarifying note) and front-loaded with the core purpose. Every sentence adds value without redundancy.

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 analytics tool with 4 well-documented parameters and no output schema, the description is fairly complete. It provides the key behavioral nuance and date window context, though it omits error conditions or pagination details.

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 coverage is 100%, so the schema already documents all parameters. The description adds minimal extra meaning beyond referencing 'optional date window' for startDate/endDate. The baseline of 3 is appropriate.

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 clearly states it returns engagement analytics for a broadcast with delivery breakdown and per-message-block counts. It distinguishes from sibling tools like get_broadcast_details by specifying analytics and delivery breakdown.

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 description does not explicitly state when to use this tool versus alternatives. It implies usage for analytics over a date window but lacks when-not-to-use 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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