list_credit_packs

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

No annotations provided, but description implies a read-only operation ('List'). It explains what data is returned (packs, currencies) and notes they stack on any plan. Could mention authentication or rate limits, but basic transparency is adequate.

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?

Two sentences, front-loaded with purpose, followed by usage and filtering details. No redundant words. Each sentence adds value.

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?

No output schema, but description fully explains what the tool returns (list of packs with types and currencies) and notes stacking behavior. For a list tool with two optional filters, this is 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 covers both parameters with enums and descriptions (100% coverage). Description adds context: filter by id (boost/power/mega/ultra) or country (ISO code), and mentions the pack names and currencies, enhancing understanding beyond 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 clearly states the tool lists HelloBooks AI credit packs, specifies the pack names (Boost, Power, Mega, Ultra) and regional currencies. It is distinct from sibling tools, all of which are analysis tools.

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 tells when to use ('when a user asks how to buy more AI credits or top up after exhausting a plan allowance'). No explicit when-not-to-use or alternatives, but siblings are all different, so no confusion.

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