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QalaLabs

Convertway WhatsApp MCP Server

by QalaLabs

log_conversation

Log a conversation entry to the history store with customer ID, channel, direction, content, and status for accurate record-keeping.

Instructions

Log a conversation entry to the conversation history store

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYesMessage delivery status
channelYesCommunication channel used
contentYesMessage content
metadataNoAdditional metadata (tags, campaign name, etc.)
directionYesDirection of the message
messageIdNoProvider message ID for cross-referencing
customerIdYesCustomer identifier (phone number, email, or user ID)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It fails to disclose behavioral traits like side effects, idempotency, or failure modes (e.g., whether duplicate logs are allowed).

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 description is a single concise sentence that is front-loaded and clear. It could include more detail without being verbose, but it is not wasteful.

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?

Given 7 parameters (5 required) and no output schema, the description is incomplete. It lacks information about return values, side effects, or preconditions for such a data-writing tool.

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 baseline is 3. The description adds no extra meaning beyond the schema; it does not explain parameter relationships or usage patterns.

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 the tool logs a conversation entry, with a specific verb ('Log') and resource ('conversation history store'). It distinguishes from sibling tools like send_whatsapp (sending) and get_conversation_history (retrieving).

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., when to log vs. send). The description only states the action without context or 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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