create_google_doc_from_markdown

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

With no annotations provided, the description carries the full burden. It discloses that the tool creates a new document (implying a write/mutation operation) and mentions the API version and markdown parser behavior, which adds useful context. However, it doesn't cover important behavioral aspects like required permissions, error handling, rate limits, or whether the operation is idempotent.

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 efficiently structured in three sentences: the first states the core purpose, the second provides implementation details, and the third describes the return value. Every sentence adds value without redundancy, and key information is front-loaded.

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?

Given the tool's moderate complexity (creation with markdown import), no annotations, and the presence of an output schema (which handles return values), the description is reasonably complete. It covers the what, how (API and parser), and output, though it could benefit from more behavioral context like permissions or limitations.

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 67% (2 out of 3 parameters have descriptions). The description doesn't explicitly discuss parameters, but it implies the purpose of 'markdown_content' and 'title' through context. Since the schema covers most parameters adequately and there are only 3 parameters total, this is above the baseline of 3 for good 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 specific action ('Create a new Google Document with content imported from markdown'), identifies the resource ('Google Document'), and distinguishes it from sibling tools like 'create_google_doc' (which presumably creates empty documents) by specifying the markdown import functionality.

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 usage context by mentioning 'Google Drive API's native markdown import (July 2024+)' and 'standard markdown syntax,' suggesting this is for markdown-to-Google-Doc conversion. However, it doesn't explicitly state when to use this versus alternatives like 'create_google_doc' or 'upload_file_to_drive,' nor does it mention prerequisites or exclusions.

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