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

With no annotations, the description carries the full burden; it does disclose determinism and explicitly bounds the safety guarantee, which is genuinely valuable. However, the closing sentence about retail prices and payment streams is irrelevant to a text sanitizer and muddies the behavioral picture rather than clarifying it.

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 first two sentences are dense but front-loaded and on-topic. The third sentence about pricing and payment streams is wholly unrelated to text normalization and does not earn its place, actively distracting the reader.

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?

There is no output schema and no annotations, so the description should explain return shape and behavior for the flagged patterns (e.g., does it rewrite text, list flags, or both), which it does not. The safety disclaimer is a plus, but the missing return semantics and the off-topic payment sentence leave it incomplete.

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% and there is one required parameter (raw_input) whose meaning, constraints, or 65536-character limit the description never mentions. It does not explain whether the input should be raw untrusted text, already-extracted text, or markup.

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 names a specific operation ('Unicode/control-noise normalization and selected instruction-pattern flags'), but the phrasing is jargon-heavy and never states plainly what the caller gets back (normalized text, flags, or both). It also does nothing to separate it from close siblings like clean_markdown and clean_and_chunk.

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?

There is a useful negative caveat ('Does not guarantee prompt-injection removal or make untrusted text safe'), but that is a disclaimer, not when-to-use guidance. No condition for choosing this over clean_markdown, clean_and_chunk, or chunk_document is offered.

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