smartsheet_generate_sheet_documentation

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

No annotations are provided, so the description must shoulder behavioral transparency. It does disclose that output is markdown-formatted documentation, which is useful. However, it does not disclose potential side effects, permission requirements, or behavior for edge cases like empty sheets or large sample counts. This is a moderate gap.

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 very concise, using two short sentences. It is front-loaded with the action and includes only essential information. No 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 description covers the main aspects: purpose, columns, sample data, and output format. Given the schema covers parameter details, this is fairly complete for a documentation tool. However, it could mention relationship to workspace documentation or clarify what 'purpose' means, but it doesn't leave major gaps.

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 100%, so the schema fully documents the three parameters. The description adds no additional parameter semantics beyond mentioning 'sample data' generically. Per baseline, score is 3.

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 verb 'Generate documentation' with the resource 'sheet', and lists content (purpose, columns, sample data). It distinguishes from sibling tools like get_sheet_structure by explicitly mentioning markdown output and sample data, making it a documentation tool rather than a raw data accessor.

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 implies a use case (creating documentation) but does not provide explicit guidance on when to choose this over sibling tools like get_sheet_structure or get_sheet. There is no mention of alternatives or exclusions, so it falls short of explicit usage guidelines.

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