get_workbook_details

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

No annotations provided, so description must disclose behavior. It claims 'detailed information' but does not specify what data is returned (e.g., workbook content, metadata). Does not mention side effects, but as a GET operation likely none.

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?

Single sentence with no wasted words. Front-loaded with verb and resource. Appropriate length for a simple tool.

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?

No output schema, so description should explain 'detailed information' content. Also, five parameters exist (including optional ones like repository_owner) with no explanation of their purpose, which is insufficient for an AI agent to use 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%, providing parameter names and types. The description adds no additional meaning; for example, 'force_refresh' is not explained. Baseline of 3 is appropriate with high schema coverage.

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 action ('get detailed information') and resource ('specific workbook'). However, it does not differentiate from sibling tool 'list_workbooks' which lists workbooks, leaving ambiguity about how 'detailed information' differs from basic metadata.

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 guidance on when to use this tool over alternatives like 'list_workbooks' or 'analyze_solutions'. Does not mention prerequisites or context for using the optional parameters.

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