Get Structure With File Uuid

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 discloses that the tool returns a JSON document, that it extracts structure (not data values), that redundant empty nodes are omitted, and that it is intended for inspection before editing/converting. This is meaningful behavioral context. It does not mention whether the operation is read-only or has side effects, but the description's framing as 'extract' and 'inspect' strongly implies a read operation, which is reasonable given no annotations.

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 three sentences, each earning its place: the first defines the output and scope, the second states the use case, and the third clarifies a behavioral detail (omission of redundant empty nodes). It is front-loaded with the core purpose and avoids fluff.

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?

The tool has a single parameter, no annotations, and an output schema exists. The description covers the purpose, the input resource, the output format, and a behavioral nuance. It does not explicitly state that the operation is read-only or describe error conditions, but for a single-parameter inspection tool with an output schema, the description is largely complete. The only notable gap is not explicitly naming the parameter semantics, but the tool name and resource reference make it clear.

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. The description does not explicitly explain the file_uuid parameter, but it names the resource ('a spreadsheet stored in Aspose Cloud Storage') and the tool name includes 'File Uuid', making the parameter's purpose inferable. The description adds value by clarifying what the UUID refers to (a file in Aspose Cloud Storage) and what will be done with it. It could be stronger with an explicit 'file_uuid: the UUID of the spreadsheet in Aspose Cloud Storage' but the context is sufficient.

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 uses a specific verb ('Extract') and resource ('structure of a spreadsheet stored in Aspose Cloud Storage as a JSON document'), and enumerates the exact content included (workbook metadata, worksheets, tables with column formulas, pivot tables, charts, shape coordinates). It also states the intended use case ('Call this to inspect a workbook before editing or converting'), which clearly distinguishes it from sibling conversion tools like convert_excel_to_json or get_spreadsheet_structure.

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 says when to use the tool: 'Call this to inspect a workbook before editing or converting.' This gives clear context for the agent. However, it does not explicitly state when not to use it or name alternatives (e.g., get_spreadsheet_structure appears to be a sibling that may overlap), so it falls short of a 5.

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