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

The readOnlyHint=true and openWorldHint=false annotations already establish a safe, local read operation, so the description's main added value is the content inventory. It does not contradict annotations and adds useful context that yesterday's result is checked automatically, but it does not cover freshness, permissions, or other behavioral constraints.

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 description is a single front-loaded sentence that immediately names the main resource and then lists the returned data. It is dense and somewhat list-like, but every clause contributes relevant information without filler.

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?

With no input parameters, no output schema, and a read-only annotation, the description needs to explain the returned content, which it does fairly thoroughly. It covers the forecast question details, answers, prior result, accuracy comparison, and top agents, leaving only minor details unspecified.

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 has zero parameters, so there are no parameter semantics to explain. Per the baseline for parameterless tools, a 4 is appropriate.

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 clearly identifies the resource as today's forecast question and enumerates the specific data returned: radar, index values, deadline, human/AI answers, yesterday's result, 30-day accuracy, and top agents. It is not tautological, but it does not explicitly distinguish this tool from siblings such as get_question_status, get_vote_results, or predict.

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 lists what the tool returns but gives no explicit guidance on when to use it, when not to use it, or which sibling tool to choose for related tasks. An agent must infer its role from the name and content list alone.

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