validate_output_vocabulary

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

No annotations are provided, so the description carries the full burden. It mentions what the tool does but lacks behavioral details such as performance characteristics (e.g., speed, accuracy), error handling, or any constraints like rate limits. The description is functional but minimal in behavioral disclosure.

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, followed by structured parameter and return explanations. It's efficient with no wasted sentences, though the parameter descriptions could be more detailed without sacrificing 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 complexity (validation tool with 2 parameters), no annotations, and an output schema present (which covers return values), the description is minimally adequate. It explains the purpose and parameters but lacks deeper context like examples, edge cases, or integration with sibling tools, leaving room for improvement.

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 basic semantics for both parameters ('document_id: ID of the document', 'output: The output text to validate against document vocabulary'). This compensates partially, though it doesn't detail formats, constraints, or examples, leaving gaps in parameter understanding.

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 with specific verbs ('Check', 'Detects') and resources ('output', 'source document vocabulary'), distinguishing it from siblings like 'validate_claim' or 'validate_literal_quote' by focusing on vocabulary validation rather than other aspects of document analysis.

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?

No explicit guidance on when to use this tool versus alternatives is provided. While the purpose implies usage for vocabulary validation, there's no mention of prerequisites, context, or comparisons to siblings like 'build_document_vocabulary' or 'detect_semantic_frames' that might overlap in functionality.

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