deepseek_start

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It only states that the task is started asynchronously, but says nothing about return values (e.g., task ID), side effects, failure modes, or how to check progress. This is thin for a tool that initiates a background coding task.

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 a single, front-loaded sentence with no wasted words. It efficiently communicates the core action, though it is arguably too terse given the tool's complexity.

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?

For a tool with 10 parameters, no output schema, and no annotations, a one-sentence description is grossly incomplete. It omits how the async task is tracked, how to retrieve results via sibling tools (deepseek_status, deepseek_wait), what 'Haha Desktop' means, and what happens on failure or timeout. The sibling lifecycle is never referenced.

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?

The description adds no parameter-level information. Schema coverage is only 50%, leaving notes, constraints, contextFiles, timeoutSeconds, and acceptanceCommands undocumented. The description could have provided context on the 'objective' (the complete implementation plan) or clarified the relationship between parameters, but it doesn't, so it contributes nothing beyond the partial schema.

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 uses a specific verb ('Start') and resource ('a DeepSeek coding task'), with the qualifier 'asynchronously' providing a clear distinction from the sibling 'deepseek_run' (presumably synchronous). However, it doesn't fully explain how it differs from other lifecycle tools beyond the async nature.

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?

No explicit guidance is provided on when to choose this tool over deepseek_run (the likely synchronous counterpart) or how to orchestrate with deepseek_status, deepseek_wait, and deepseek_cancel. The word 'asynchronously' is the only implicit hint, which is insufficient for an AI agent selecting among siblings.

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