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

With no annotations, the description must carry the whole behavioral burden; it does disclose the transformation itself (what gets removed) and that a 2-pass process runs, which is real value. It says nothing about whether the input is mutated or a new version returned, output format, latency/cost, or what the optional api_key gates — leaving meaningful gaps for a processing tool.

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?

A single front-loaded sentence with no filler; the effect list is dense but each item earns its place. The branded jargon ('2-Pass Wikipedia 24-Pattern AI Slop Humanizer') adds some noise without adding agent-relevant meaning.

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?

Three simple flat parameters and no output schema, so the definition is nearly sufficient, but an agent still cannot tell what comes back (cleaned text only? flagged issues? both?) or whether the API key is required in practice. For a content-transformation tool, that return-shape ambiguity is a real gap.

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% and the platform enum effects (<250 chars for 'x', lowercase anti-sell voice for 'reddit') are already documented in the schema. The description adds little parameter-level meaning beyond the word 'draft'.

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?

States a specific verb and resource ('Run ... Humanizer on a social or community draft') plus the concrete effects ('strip AI tells, SaaS-bro phrases, em-dashes, and air-quotes'). It doesn't name or contrast any sibling (e.g. reeling_adapt_content_ai), so an agent must infer the boundary itself.

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?

Usage is only implied by the phrase 'on a social or community draft' — the agent can guess this runs on pre-publish drafts. There is no explicit when-to-use/when-not guidance, no mention of the closest alternative (reeling_adapt_content_ai), and no stated ordering relative to publish/score tools.

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