netintel_content_moderate

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

With no annotations, the description carries the full burden, and it does disclose useful behavior: the model used (Claude Haiku) and the response shape (per-category severity plus an allow/flag/block recommendation). It says nothing about latency, cost/rate limits, input length limits, language coverage, or failure behavior for short/ambiguous text, which are material for an LLM-backed moderation call.

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 dense sentence that front-loads the verb, the model, the categories, and the output verdict — minimal waste. It is truncated with an ellipsis, leaving the final clause incomplete, which is the only structural defect.

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 one-parameter tool with no output schema and no annotations, the description helpfully sketches the return shape (category severities + recommendation) but omits input-format expectations and any operational limits. The truncated ending leaves the reader unsure whether more guidance was intended.

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?

Only one parameter ('text') with 0% schema description coverage, so the schema alone is not self-explanatory. The description implies the input is raw text to be screened, but adds no constraints such as supported languages, max length, or whether markup should be stripped.

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+resource ('Moderate text content') and enumerates the exact output categories (harassment, hate, sexual content, violence, self-harm, spam) plus the overall allow/flag/block verdict, which clearly separates it from siblings like netintel_sentiment or netintel_classify. It never names an alternative tool, so it does not fully earn a 5.

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 trailing clause 'so agents can screen user-generated…' implies the intended context (moderating UGC before display), which is genuine implied-usage guidance. However there are no explicit when-to-use/when-not conditions, no named alternatives, and the sentence is cut off mid-thought.

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