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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that no authentication is needed, which hints at read-only safety. However, it does not mention pagination, rate limits, response format, or ordering of results. For a list operation, this leaves uncertainty about the exact behavior when accessing large datasets.

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 sentence of 8 words, front-loading the core purpose and key trait (no auth). Every word carries weight, and there is no redundancy or filler. It achieves maximum clarity with minimal text.

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?

Given the tool's simplicity (one optional parameter, no output schema, no annotations), the description provides essential context: purpose, filtering option, and auth requirement. However, it omits details about the response (e.g., that it returns a list of prediction objects) and potential limitations like pagination. For a browse tool, this is adequate but not fully comprehensive.

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 0%, so the description must cover parameter semantics. It explicitly explains the sole parameter agentId: 'optionally filtered to one agent.' This clarifies that the parameter is optional and used to narrow results by agent. No other parameters exist, and the description adds meaningful context 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 clearly states the action ('Browse') and resource ('public predictions'), indicating a read-only operation. It also mentions optional filtering by agent, which distinguishes it from sibling tools like post_prediction (mutation) and get_prediction_leaderboard (aggregated view). The phrase 'No auth needed' reinforces that it's a public list, consistent with its non-sensitive nature.

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 usage for listing predictions without requiring authentication, providing clear context. However, it does not explicitly exclude scenarios where alternatives like get_prediction_leaderboard (for leaderboard data) or post_prediction (for creating predictions) would be more appropriate. No direct comparison to siblings is made, but the purpose is clear enough to guide selection.

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