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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

conversations_update_message_status

Idempotent

Update the status of a conversation message by providing its ID and new state, ensuring accurate delivery tracking across email and other channels.

Instructions

Update message status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoError object from the conversation provider
statusYesMessage status
messageIdYesMessage Id
recipientsNoEmail delivery status for additional email recipients.
emailMessageIdNoEmail message Id
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering the basic safety profile. The description adds no additional behavioral context, such as side effects on related resources or error handling behavior. Since it adds nothing beyond the mutation implied by the name, it does not enhance transparency beyond the annotations.

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: 'Update message status.' It is front-loaded and contains no filler. While it is very short, it is efficient and directly states the action without unnecessary words, so conciseness is high.

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 the tool has 5 parameters, including a nested object, and no output schema, the description lacks essential context. It doesn't explain what happens after the update, how statuses map to delivery outcomes, or what the response contains. The sparse description is insufficient to fully understand the tool's behavior for correct usage.

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?

The input schema has 100% description coverage for all parameters, including enums for 'status' and explanations for 'error', 'recipients', and 'emailMessageId'. The description does not add any parameter-specific meaning; it relies entirely on the schema, which is adequate. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb 'Update' and resource 'message status', which identifies the core action. However, it doesn't specify what statuses are available, how the status is updated, or how it differs from sibling tools like 'conversations_update_conversation'. It's understandable but lacks differentiation.

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?

There is no guidance on when to use this tool versus alternatives, no mention of prerequisites, and no exclusions. The description simply states the action without any context about appropriate use cases or when to avoid it.

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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