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list_conversations

Retrieve paginated conversation history for AI bots, enabling users to manage and review previous interactions with controlled result sets.

Instructions

List all conversations for the bot app with pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of conversations to return
offsetNoOffset for pagination
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'with pagination', which adds some behavioral context, but fails to disclose other traits such as whether this is a read-only operation, any rate limits, authentication needs, or what the return format looks like. For a list tool with no annotations, this is insufficient.

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?

The description is a single, efficient sentence that front-loads the core purpose ('List all conversations for the bot app') and adds a key behavioral trait ('with pagination') without unnecessary words. Every part of the sentence earns its place.

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 complexity is low (a simple list operation with 2 parameters) and schema coverage is high, the description is minimally adequate. However, with no output schema and no annotations, it lacks details on return values or behavioral constraints, leaving gaps in completeness for effective agent 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 description coverage is 100%, so the schema fully documents the 'limit' and 'offset' parameters. The description adds no additional meaning beyond what the schema provides, such as explaining pagination mechanics or default behaviors, resulting in a baseline score of 3.

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 ('List') and resource ('conversations for the bot app'), making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'get_conversation_messages', which might retrieve messages within a specific conversation, leaving some ambiguity in sibling distinction.

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?

The description mentions 'with pagination', which implies usage for handling large datasets, but provides no explicit guidance on when to use this tool versus alternatives like 'get_conversation_messages' or other list-related tools. There are no when-not or alternative usage instructions.

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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