Setup ProjectionLab

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

With no annotations, the description fully discloses behavior: the API key never leaves the browser, uses sessionStorage, runs client-side validation, and returns only a success/failure boolean. It also clarifies the two-step state machine, making the tool's internal behavior predictable and safe.

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 well-structured and front-loaded with a concise summary, followed by numbered steps and security details. Every sentence contributes useful information without redundancy, and the format is easy to parse for an AI agent.

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's simplicity (one optional param, no output schema), the description covers all necessary context: the two-step flow, security model, what the script does, how to execute it, and the return value. No critical gaps remain.

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 significant meaning beyond the schema's minimal 'Result from executing the extractScript'. It explains that validationResult confirms key validity and completes setup, and clarifies that calling with no args triggers the first step. This is essential contextual information for correctly using the optional parameter.

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 'Guided setup for the ProjectionLab Plugin API key' with a specific verb and resource. It distinguishes setup from sibling tools like pl_export and pl_snapshot by focusing on API key initialization and validation rather than data operations.

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 provides explicit step-by-step usage: call with no args first, then call with validationResult. It also directs the user to execute the extractScript via Playwright or chrome devtools MCP. It lacks explicit when-not-to-use or alternative guidance, but the flow is unambiguous.

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