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

With no annotations, the description does carry real behavioral weight: it discloses that runs dispatch to Modal workers, that credit cost varies by model and file size, that Day Pass/welcome credits are excluded, and that files are deleted post-processing with an audit URL. However, it never explains how input text is actually supplied (the schema has no fields) or what the output looks like, which is the core behavior an agent needs.

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 purpose is front-loaded, but roughly half the text is pricing and credit-pack marketing ('there is no per-workspace subscription', 'see mioffice.ai/pricing') that does not help an agent invoke the tool. The signal-to-noise ratio is poor.

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?

For a tool with no parameters and no output schema, the description should clarify the input mechanism and result shape; instead it leaves both implicit. Retention and pricing are covered, but the operational essentials for calling the tool are missing.

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?

Zero parameters would normally baseline at 4, but the description actively implies parameters that do not exist ('choose the summary length and format', 'paste your text'), which misleads an agent about the call signature. The schema and description are out of alignment rather than complementary.

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 opening sentence names a specific resource and action (summarize document text, compare against source), which clearly distinguishes it from siblings like mio_ai_document_translator or mio_pdf_to_text. It loses a point because it instructs the user to 'choose the summary length and format' even though the tool exposes zero parameters.

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 pick this over the many adjacent siblings (document translator, PDF-to-text, transcriber). The only usage-adjacent content is credit/pricing boilerplate, which does not help select the tool.

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