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

Annotations already mark this as read-only and idempotent, and the description adds substantial behavioral detail: RFC 4180 compliance, typed parsing behavior, typed=false opt-out, no upstream processing, and explicit billing/authentication requirements. This far exceeds what the annotations alone provide.

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 longer than average but nearly every sentence carries useful information about conversion behavior, options, or access requirements. The opening phrase is slightly redundant with the next sentence, but overall it is well-structured and front-loaded with the core purpose.

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?

For a 4-parameter conversion tool with an output schema and strong annotations, the description is fully sufficient: it covers supported formats, parsing guarantees, type handling, required inputs, pricing, and authentication. Nothing important is missing for an agent to select and call it correctly.

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 coverage is 100%, but schema descriptions are minimal ('Source format', 'Target format', 'Content to convert'). The description compensates by enumerating the supported conversion shapes and explaining the typed flag semantics, though it doesn't explicitly list allowed enum-like values for from/to.

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 opens with a clear verb-resource statement: converting between CSV/TSV/JSON/Markdown/HTML formats. It names specific conversion directions and adds parsing details that distinguish it from general file tools like file_publish or file_slot.

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 gives clear context for when this tool is appropriate: local, deterministic format conversion with no model call and no upstream dependency. It does not explicitly name alternative tools or state when-not-to-use scenarios, but the local-only, no-model framing is enough to guide selection.

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