Demo Voice Transaction Input

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

Annotations already indicate it's read-only, non-destructive, idempotent, and closed-world. The description adds valuable context beyond this: it explains that the tool is for demonstration purposes, outputs structured transactions with confidence scores, supports multiple transactions per input, and handles specific languages. No contradictions with annotations are present.

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 well-structured and front-loaded, starting with the core purpose and followed by usage details. It uses specific examples efficiently and avoids redundancy. However, the final sentence ('Use this to show users...') could be slightly more concise, as it partially reiterates the demonstration aspect.

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 moderate complexity, rich annotations, and 100% schema coverage, the description is largely complete. It covers purpose, usage, behavioral context, and examples. The main gap is the lack of output schema, but the description partially compensates by mentioning structured transactions with confidence scores. It could be more explicit about output format.

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 100%, so the schema fully documents both parameters. The description adds some semantic context by mentioning natural language input examples and language support, but doesn't provide additional details beyond what the schema already covers (e.g., no further explanation of currency handling). Baseline 3 is appropriate given 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: it demonstrates AI voice input parsing by converting natural language into structured transactions with confidence scores. It specifies the exact functionality (parsing purchase descriptions), distinguishes from siblings (which focus on budgeting, analysis, etc.), and provides concrete examples ('Coffee at Starbucks 4.50').

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: to demonstrate how effortless expense tracking can be with voice input, and to show users how the AI parses natural language. It also specifies supported languages (English and German) and that it handles multiple transactions in one sentence, providing clear context for its application.

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