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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds platform-specific behavioral context (web vs native) but does not disclose other traits such as response size, pagination, or authentication needs. Since the annotations cover the baseline, a 3 is appropriate – the description adds some value but not rich behavioral detail.

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 sentence that front-loads the tool's purpose and immediately follows with actionable platform guidance. There is zero waste; every word contributes to selection or usage. This is exemplary conciseness.

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 an output schema and a single parameter with clear guidance, the description covers all essential information: what it returns, which platform to use, and the parameter value semantics. No other context is necessary for an agent to invoke it correctly. The existence of an output schema means return values are documented elsewhere, so the description is complete for its scope.

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 0%, but the description adds meaning to the single 'platform' parameter by explaining the semantic distinction between web (Stripe/crypto web packages) and ios/android (native). This goes beyond the raw enum values and helps the agent choose correctly, thus compensating for the lack of schema descriptions. It does not go into detail about the snapshot contents, but that is not parameter-related.

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 returns a 'combined snapshot' listing the specific components (packages, rentals, credit status, settings). This differentiates it from sibling tools like ucode_credit_packages or ucode_credits_status, which focus on individual aspects. The verb 'snapshot' plus explicit contents make the purpose unambiguous.

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 actionable guidance on platform selection ('Use platform web for ChatGPT... ios/android for native'), which clarifies when each parameter value is appropriate. It implicitly distinguishes this combined tool from individual endpoints via the 'combined' phrasing, though it does not explicitly name alternatives or state when not to use this tool. Overall, the context is clear, but explicit exclusions are missing.

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