Explain Zero-Based Budgeting

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

Annotations already indicate this is a read-only, non-destructive, idempotent, and closed-world operation. The description adds value by specifying the output format ('structured explanation with practical examples') and the tool's educational nature, which goes beyond the annotations. No contradiction with annotations exists.

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 front-loaded with the core purpose in the first clause, followed by usage guidelines. Both sentences are essential: the first defines what the tool does, and the second tells when to use it. There is no wasted text or redundancy.

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 educational nature, annotations covering safety and behavior, and 100% schema coverage, the description is largely complete. It specifies the output format and usage context. However, without an output schema, it could benefit from more detail on the structure of the returned explanation (e.g., sections or format), but this is a minor gap.

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 description coverage is 100%, so the schema fully documents the three parameters (detail_level, include_example, currency). The description does not add any parameter-specific information beyond what's in the schema, such as explaining the impact of different detail levels or example types. This meets the baseline for high 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?

The description clearly states the tool's purpose: to explain Zero-Based Budgeting (ZBB) with specific components (what it is, how it works step-by-step, why it's effective) and a structured output with examples. It distinguishes itself from sibling tools like 'analyze_budget' or 'create_budget_plan' by focusing on educational explanation rather than analysis or creation.

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 explicitly states when to use this tool: 'when someone asks about ZBB, how to budget, or how to manage their money better.' This provides clear context for invocation, distinguishing it from siblings that might handle budgeting calculations or planning without explanation.

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