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ask_suzyq

Get answers to research questions about surveys, missions, actions, and data analysis by sending a message to SuzyQ, the research co-pilot. Supports ongoing conversations with optional conversation ID.

Instructions

Send a message to SuzyQ chatbot and get a response. SuzyQ is your research co-pilot that can help you with questions about surveys, missions, actions, data analysis, and more within the Suzy platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesThe message to send to SuzyQ
conversation_idNoOptional conversation ID to continue a previous conversation. If not provided, a new conversation will be started.
Behavior3/5

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

With no annotations, the description carries the burden of explaining behavior. It accurately describes the send-and-receive interaction, but it does not disclose that omitting conversation_id starts a new conversation or any other side effects. The behavior is not misleading, but it is minimal.

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 two sentences with no fluff. The first sentence front-loads the action, and the second provides useful context about SuzyQ's capabilities. Every word 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?

For a simple two-parameter tool, the description covers the core purpose and scope. However, it does not explain how it relates to the sibling conversation-management tools, and without an output schema it leaves response expectations vague. It is adequate but has clear gaps.

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 baseline is 3. The description does not add any meaning beyond the schema for the message or conversation_id parameters; it relies entirely on the structured field descriptions.

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 a specific action ('Send a message to SuzyQ chatbot and get a response') and names the resource (SuzyQ). It is easy to understand what the tool does, though it does not explicitly contrast it with sibling tools like new_suzyq_conversation or get_suzyq_conversation_history.

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 provides no guidance on when to use this tool versus the sibling tools. The optional conversation_id in the schema hints at continuing vs. starting a conversation, but the description itself gives no usage context, exclusions, or alternatives.

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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