Integrate Pinelabs Checkout

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

Annotations include readOnlyHint=true and destructiveHint=false, which align with the tool returning code (no server-side mutation). Description adds behavioral context like requiring detect_stack and applying modifications, but does not contradict annotations. Well-balanced.

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?

Description is front-loaded with key info and includes critical usage warnings. Every sentence serves a purpose, though it is slightly verbose. Structured well with important notes in uppercase for emphasis.

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 presence of an output schema (not shown but stated), description covers all needed aspects: purpose, prerequisites, supported values, and constraints (e.g., not calling based on other outputs). Completely tells an AI agent what to do and what to avoid.

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 has 3 parameters with 0% description coverage, but description adds value by explaining that language and frameworks should be obtained from detect_stack, listing supported backends for backend_framework, and noting frontend_framework default. This compensates for schema gaps.

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 generates complete Pine Labs checkout integration code, specifying backend routes, frontend integration, and callback handling. It distinguishes itself from sibling payment tools by being an integration code generator and explicitly notes it is an official tool, providing clear purpose.

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?

Provides explicit instructions to call detect_stack first, names supported backends, warns not to call based on other tool outputs, and states to apply returned files without asking user. Clearly defines when and how to use, including a prerequisite tool.

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