deepseek_chat

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 discloses the session continuation behavior, which is useful, but it does not mention token consumption, non-determinism, streaming behavior, or the return format. It adds some context beyond the schema but is not comprehensive.

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

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

The description is two sentences: the first states the primary purpose and supported tasks, the second covers session continuation. It is concise, front-loaded, and has no unnecessary words.

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

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

Given the tool has 8 parameters and no output schema, the description covers the core purpose and session continuation but omits explicit return format and guidance for choosing among sibling tools. It is adequate but leaves gaps for an agent deciding between deepseek_chat and deepseek_multi_turn.

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

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

Schema description coverage is 100%, so the schema already documents all parameters. The tool description mentions session_key continuation but does not add additional meaning beyond the schema. Baseline 3 applies as the schema handles parameter semantics well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool invokes the DeepSeek model for chat completion and lists supported tasks (code generation, Q&A, translation). It distinguishes from sibling tools like deepseek_reasoner and deepseek_fim by focusing on general dialogue, but it does not explicitly differentiate from deepseek_multi_turn, which may also handle multi-turn chat.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives context on when to use the tool (for chat, code, Q&A, translation) and how to continue conversations via session_key. However, it does not explicitly state when to prefer this tool over deepseek_multi_turn or deepseek_reasoner, nor does it provide exclusions or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.