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manage_whatsapp_queue

Comprehensive WhatsApp queue management tool supporting all queue operations. Perfect for monitoring queue health, controlling message delivery flow, and performing bulk message operations. Supports all WhatsApp queue operations through a unified action-based interface.

Available actions:

  • get_status: Get comprehensive queue statistics and status information

  • update_status: Update queue processing status (pause/active/reject/freeze) with optional force delivery

  • delete_messages: Delete queued messages with flexible filtering options

Input Schema

NameRequiredDescriptionDefault
forceNoForce delivery of all queued messages with no delay for 30 minutes (only works with "active" or "reject" status)
actionYesAction to perform on WhatsApp queue
deviceYesWhatsApp device ID connected to Wassenger (24 character hexadecimal string)
statusNoQueue processing status (required for update_status action)
filtersNoFiltering options for selective message deletion (for delete_messages action)
waitForCompletionNoWait until all messages are deleted (may take up to 90 seconds for large queues)

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

B3/5.0
Behavior2/5

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

No annotations exist, so the description carries the full disclosure burden and largely does not meet it. It never states that delete_messages is irreversible, what pause/freeze/reject actually do to in-flight messages, whether permissions or a connected device are required, or that the tool can block for up to 90 seconds. The only behavioral detail (force delivery for 30 minutes) is already in the schema, not the description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The action list is well front-loaded and easy to scan, but the opening three sentences say the same thing three times ("comprehensive ... supporting all queue operations ... supports all queue operations through a unified action-based interface"), which is pure filler. The useful content is roughly a third of the length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a mutation-capable tool with a nested filter object, no annotations, and no output schema, so the description needed to cover side effects, return shape, and safety. It covers none of them — an agent cannot learn from the description what get_status returns, what deletion scope defaults to, or that deleting with no filters may wipe the whole queue.

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 each parameter (including the nested filters object, status enum, and force/waitForCompletion flags) is already documented in the schema; the description adds no format or constraint detail beyond what is there. Baseline 3 applies — the action list paraphrases the enum without adding semantics such as which parameters apply to which action (beyond the status/force hints already in the schema).

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?

The description names a specific resource (WhatsApp queue) and enumerates the three operations it performs, so an agent knows exactly which capabilities live here. It loses a point because the framing sentences ("Comprehensive ... supporting all queue operations", "Supports all WhatsApp queue operations through a unified action-based interface") are restatements of the same idea rather than sharper scoping, and it never states what distinguishes this from the many other manage_whatsapp_* siblings beyond the word "queue".

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?

"Perfect for monitoring queue health, controlling message delivery flow, and performing bulk message operations" implies when to reach for it, and each action is paired with a use case. But there are no explicit preconditions (a valid device ID, an existing queue), no when-not-to-use guidance, and no routing to alternatives such as send_whatsapp_message or the chat tools.

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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