preview_cards

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions LaTeX rendering and that tags are 'currently not shown in text format,' which adds some context. However, it lacks critical details: whether this is a read-only operation, if it modifies data, what the output looks like (though an output schema exists), or any performance/rate limits. For a tool with no annotations, this is insufficient.

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 appropriately sized. It starts with a clear purpose statement, followed by a bulleted list of parameters with helpful explanations. Each sentence adds value, and there's no redundancy. However, the 'Args:' section could be integrated more smoothly into the flow.

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 4 parameters with 0% schema coverage and an output schema, the description does a fair job. It explains parameters well but lacks behavioral context (e.g., no annotations, no mention of side effects). The output schema mitigates the need to describe return values, but for a tool with no annotations and multiple parameters, more guidance on usage and behavior would improve completeness.

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%, so the description must compensate. It adds meaningful semantics beyond the schema: explaining that 'content' is 'Text content to convert to flashcards and preview,' 'card_type' has options 'front-back' or 'cloze,' 'title' is for the 'preview document,' and 'tags' are 'Tags to display on the cards (currently not shown in text format).' This clarifies purpose and constraints, though it could detail format expectations for 'content.'

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: 'Generate text preview of flashcards with LaTeX rendering for Claude Desktop.' It specifies the verb ('Generate'), resource ('text preview of flashcards'), and key capability ('LaTeX rendering'). However, it doesn't explicitly differentiate from sibling tools like 'create_flashcards' or 'upload_to_anki' beyond the 'preview' aspect.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention when this preview is needed (e.g., before creating actual flashcards), nor does it reference sibling tools like 'create_flashcards' or 'upload_to_anki' for comparison. Usage is implied but not explicitly stated.

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