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DripRaven WhatsApp campaigns

list_automations

Read-onlyIdempotent

List the workspace's automations with their trigger tag, template, delay, enabled flag and live stats { sent, delivered, read, failed, delivery_rate, read_rate }. When sends failed, stats.recent_errors gives up to 5 recent reasons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-open-world behavior, so the safety profile is covered; the description adds genuine value by disclosing the returned payload, including conditional behavior (stats.recent_errors appears only when sends have failed, capped at 5 reasons).

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 sentences, no filler, front-loaded with the resource and immediately followed by the concrete field list and the one conditional edge case.

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 carries the return-value burden and does so well, naming the stat fields and the recent_errors fallback. It omits pagination, ordering, or result-size limits, which an agent listing automations might need.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate; the baseline for a zero-parameter tool is 4.

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 (List) and resource (the workspace's automations) and enumerates the returned fields, so an agent can distinguish it from siblings such as list_campaigns, list_templates and list_segments without opening a schema.

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 verb and the read-only annotation — enumerate existing automations, presumably before update_automation or delete_automation — but no explicit when-to-use or when-not-to-use guidance is given, and no alternatives are named.

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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