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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false, and destructiveHint=false, so the safety profile is covered by structured fields. The description adds only the word "Trusted", which is an unverifiable quality claim rather than disclosed behavior — no indication of what source corpus is consulted, whether results are deterministic, or what latency/rate characteristics apply.

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?

It is short and front-loaded with zero filler, but the brevity here is under-specification rather than discipline — a single vague phrase does not earn its place as the entire definition.

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?

Even for a zero-parameter tool with full annotation coverage and no output schema, the description never explains what "augmentation" produces or how a caller should interpret the result. The annotations supply safety facts, but the functional contract is entirely absent.

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?

The tool takes zero parameters, so the baseline of 4 applies; there is no parameter semantics gap for the description to fill.

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?

"RAG augmentation" restates the tool name with no specific verb, resource, or operation detail — an agent cannot tell what is being augmented (a query? a context window? a document set?) or what the tool produces. Nothing distinguishes it from generic inference siblings like `inference` or `text_summarize`.

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 contains no when-to-use guidance, no prerequisites, and no mention of alternatives such as `inference`, `inference_stream`, or `text_summarize`. The `[inference]` tag is a category marker, not usage instruction.

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