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Eyalm321
by Eyalm321

zernio_list_conversations

Retrieve all direct message conversations from connected social media accounts, including sender info, last message preview, and conversation IDs. Filter by account or platform.

Instructions

List all DM conversations across connected social media accounts. Returns sender info, last message preview, and conversation IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountIdNoFilter by specific account ID
platformNoFilter by platform: facebook, instagram, twitter, etc.
limitNoMax conversations to return (default 20)
Behavior3/5

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

No annotations provided, so description carries full burden. States it lists conversations and returns sender info, last message preview, IDs. Implies read-only but doesn't disclose rate limits, pagination details, or ordering. Returns only partial behavioral context.

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

Conciseness5/5

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

Two sentences, no redundant words. Purpose is front-loaded and every phrase adds value. Efficient and well-structured.

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?

No output schema; description mentions return fields but lacks details on pagination, default ordering, or whether 'all' truly means all connected accounts. For a simple list tool with filters, it is somewhat complete but missing context.

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%, with each parameter having a brief description. The tool description adds no extra meaning beyond the schema, such as accepted platform values. Baseline 3 is appropriate per guidelines.

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 'List all DM conversations across connected social media accounts', specifying the verb (list), resource (DM conversations), and scope. This effectively distinguishes it from sibling tools like zernio_list_messages and zernio_get_conversation.

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 such as zernio_get_conversation for individual details or zernio_list_messages for messages within a conversation. The description lacks explicit criteria 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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