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

Annotations already cover read-only/open-world character, but the description adds real behavioral context: the result is base64 (nothing is written to disk), it is ready to save or attach, and each call costs $0.01 USDC via x402. Pricing and output form are exactly the kind of disclosure annotations cannot carry. It does not discuss size limits or failure modes.

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?

Two dense, front-loaded sentences: capabilities first, return form second, cost last. Every clause maps to a distinct parameter or output trait, with no filler.

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?

With no output schema, the description correctly carries the return contract (base64 file) and payment model, so an agent can call it without surprises. Minor gaps remain around no-required-parameter behavior (what happens if neither data nor markdown is supplied) and sheet/filename semantics.

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 80%, so the baseline is 3. The description mostly restates the schema (xlsx/csv/docx, JSON rows or CSV text, Markdown for docx) and adds no syntax or format detail, while 'sheet' is documented nowhere and 'filename' has no description at all.

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?

States a specific verb ('Make') plus the exact resources (Excel/xlsx, CSV, Word docx) and the input forms each accepts (JSON rows, CSV text, Markdown). An agent knows precisely what it produces. It never names office_convert, so the boundary against the closest sibling is left to inference from the verb 'Make'.

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?

Usage is implied by the format description (use it when you have JSON/CSV rows or Markdown to turn into a file), but there is no explicit when-to-use, when-not, or alternative routing, especially against the sibling office_convert for converting existing documents.

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