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cluic
by cluic

send_bulk_messages

Automate sending multiple messages in WeChat through AI assistants. Specify recipients and message content in a JSON array to handle bulk communication tasks.

Instructions

批量发送消息。参数: messages (JSON数组,每项包含msg和who)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messagesYes
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 states the action '发送' (send) but doesn't disclose behavioral traits such as rate limits, authentication needs, whether it's synchronous/asynchronous, error handling, or what happens on failure (e.g., partial sends). For a mutation tool with zero annotation coverage, this is a significant gap.

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 brief and front-loaded with the purpose, followed by parameter details. It uses minimal sentences without redundancy, though it could be slightly more structured (e.g., separating purpose and parameters clearly).

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 no annotations, 0% schema coverage, no output schema, and a mutation tool with 1 parameter, the description is incomplete. It lacks details on return values, error conditions, side effects, and operational constraints, making it inadequate for safe and effective use by an AI agent.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It adds meaning by specifying that 'messages' is a JSON array with items containing 'msg' and 'who', which clarifies the structure beyond the schema's 'string' type. However, it doesn't explain the semantics of 'msg' (message content) and 'who' (recipient identifier), leaving ambiguity in usage.

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 '发送' (send) and the resource '消息' (messages), with the qualifier '批量' (bulk) indicating it handles multiple messages at once. It distinguishes from sibling tools like 'send_message' (singular) and 'send_files' (different resource type). However, it doesn't specify the target platform or context beyond the sibling tool names suggesting WeChat.

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 explicit guidance on when to use this tool versus alternatives like 'send_message' (for single messages) or 'send_files' (for files). The description implies bulk messaging but doesn't state prerequisites, limitations, or comparative scenarios with other sending 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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