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cysic_chat

Get a reply from the Cysic AI model by sending a prompt. Supports optional system instructions and temperature tuning.

Instructions

Single-turn chat with the Cysic AI model. Returns the model reply as a text content block.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe user message to send to the model.
systemNoOptional system prompt. Defaults to a helpful-assistant instruction.
temperatureNoSampling temperature in [0, 2]. Optional.
Behavior2/5

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

No annotations provided, so the description carries full burden. It reveals only that the chat is single-turn and returns text. No mention of authorization, rate limits, statefulness, or other side effects. 'Single-turn' adds minimal disclosure.

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 concise sentences front-load the purpose and return format. No filler or redundant information. Every word earns its place.

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

Completeness4/5

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

Given no output schema, the description explains the return value (text content block). It covers the essential behavior for a simple chat tool. Could mention rate limits or authentication needs, but not critical for basic usage. Adequately complete.

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% (all 3 parameters have descriptions). The tool description does not add any extra meaning beyond the schema. Baseline 3 is appropriate as the schema already documents the parameters sufficiently.

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 the tool is for single-turn chat with a specific model and returns a text reply. It uses specific verb+resource ('chat with the Cysic AI model') and the sibling tools suggest different functions (humanize, session), making it easy to distinguish.

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 vs siblings. There is no mention of alternatives, restrictions, or typical use cases. The description only states what it does, not when or when not to use it.

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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