auto_research_setup

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

No annotations provided, but description discloses autonomous behavior and lack of questions. However, it does not mention side effects like resource creation limits or permissions. Still, main behavioral traits are clear.

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?

Single sentence with clear usage examples. No unnecessary words. Front-loaded with purpose and usage.

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 4 parameters, no output schema, and no annotations, the description covers purpose and usage adequately. Lack of return value info is acceptable for a setup tool, but could be slightly more complete.

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 coverage is 100%, baseline 3. Description adds meaning by explaining depth options (quick vs deep) and how description parameter tailors agent prompts. Also notes workspaceId defaults.

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?

Description clearly states it is an autonomous one-shot research workspace setup that creates library, agents, and workflow without questions. It distinguishes from sibling manual_research_setup by specifying it requires no user interaction. Examples of when to use are given.

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?

Explicitly specifies when to use: when user says 'deep dive into X', 'research X for me', or on mobile/voice. This helps differentiate from other research-related tools.

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