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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description. The description adds that the data is a historical 'track record' with outcomes, which helps set expectations for results, but says nothing about result volume, ordering, or recency.

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?

Two tight sentences: the resource and its contents come first, the filtering mechanics second. No filler, no restatement of the title.

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 single-optional-enum read tool with rich annotations, the description covers what the data is and how to filter it, which is enough to call it correctly. Without an output schema, a brief note on what a prediction record contains (e.g., call, date, outcome) would have closed the remaining 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 coverage is 0%, but the sole parameter is an enum with a stated default, and the description enumerates the same values plus clarifies that 'all' is the default. It adds little beyond the enum itself — it does not explain what 'pending' vs 'hit'/'miss' means in terms of outcome evaluation, so the compensation for zero coverage is only partial.

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 resource — VLSI Korea's public prediction track record — and clarifies what a prediction is ('semiconductor market calls with outcomes'), which an agent could not infer from the name alone. It is clearly distinct from siblings like get_news_feed or get_stock_quote, though it never explicitly contrasts itself with them.

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 'Filter by status' sentence implies how to narrow results and gives the default, which is useful context for invocation. There is no explicit statement of when to choose this tool over siblings (e.g., articles vs. predictions) or any prerequisite, so usage is only implied.

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