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whatsapp_mark_read

Mark specific messages as read in a WhatsApp chat by providing the phone number and list of message IDs.

Instructions

Mark messages as read. phone: chat number. message_ids: list of IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYes
message_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description only states the core action without detailing side effects (e.g., triggering read receipts, changing unread counts). This is insufficient for a mutation tool with no annotation support.

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 very concise, with a single sentence plus parameter hints. It is front-loaded and contains no filler, but could be expanded slightly for clarity without becoming verbose.

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

Completeness3/5

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

Given the tool's simplicity and the presence of an output schema, the description is almost adequate. However, it omits practical context like whether the operation is reversible or affects multiple chats, which would help in real-world use.

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 0%, but the description adds basic meaning: 'phone: chat number' and 'message_ids: list of IDs'. While minimal, it clarifies the parameters' roles beyond the schema's type definitions.

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 clearly states the verb 'mark' and the resource 'messages as read', which distinguishes it from sibling tools like sending or deleting messages. However, it lacks full context like 'in a WhatsApp chat' but is still unambiguous.

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 like reacting to messages or deleting them. The description does not mention prerequisites or limitations, which is a significant gap given the number of sibling 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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