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

With no annotations, the description carries the full burden. It discloses the mutation (deducts a unit) and the precise timing/condition for the call, plus the return structure. However, it does not mention potential failure modes or side effects like insufficient balance, which could be relevant.

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 concise and well-structured. It uses short sentences and standard @param/@return formatting. No unnecessary words or repetition.

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?

The description covers the core functionality, usage guidance, parameter, and return value. An output schema exists, so return details are redundant but helpful. It lacks edge-case information like error handling or idempotency, but for a simple deduction tool, it is largely 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?

The schema has only customer_id with no description, but the description explicitly explains '@param customer_id: The customer's database id'. This fully compensates for the 0% schema coverage.

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?

Clearly states the action (deducts a unit) and the resource (customer's available workflow allowance). Distinguishes from sibling tools by specifying the deduction behavior and the specific context of use.

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 provides when to call (after each non-paywall AI response) and when not to call (when customer is requesting paywall-related assistance). This offers clear operational guidance.

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