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

With no annotations provided, the description carries the full burden of explaining behavior. It states that a document is fetched, which suggests a read-only operation, but it does not disclose output format, potential absence of results, error behavior, or any side effects. It is minimally informative but lacks behavioral depth.

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 with no redundant phrasing. Every word contributes meaning, and it is compact enough for an agent to parse quickly.

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 simple tool with one required parameter and a high-coverage schema, the description is largely sufficient: it states what the tool fetches and how to identify the target. It leaves minor open questions about the response shape, but the lack of an output schema and low tool complexity keep this from being a serious 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%, so the schema already documents the id parameter well. The description reinforces the id as 'a search result id' and adds the concept of full prediction document, but it does not significantly expand on parameter semantics beyond the schema.

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 verb ('Fetch'), a concrete resource ('full prediction document'), and a clear input context ('search result id'). It distinguishes the tool from broad search and list-like getters by emphasizing that it retrieves the full document for one ID, though it does not explicitly compare against a sibling.

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 implies this should be used after obtaining a search result id (e.g., pred:123), so the usage context is inferable. However, it does not explicitly say when to prefer this over get_predictions, get_bet, or search, nor does it state any exclusions.

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