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

With no annotations provided, the description carries the full burden. It discloses that odds come from prediction markets, are updated every 10 minutes, and have $1.8B+ traded, giving insight into data freshness and source. It also lists the scope of markets covered. It does not explicitly state that it is read-only, but 'Get' implies this, and the detail provided goes beyond a minimal description.

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 two sentences long, front-loaded with the primary action and resource, and every clause provides useful information. It efficiently packs the market types, usage context, and update frequency without redundancy or 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?

Given that the tool has no parameters and an output schema exists, the description comprehensively covers the tool's purpose, scope, freshness, and source. It provides enough contextual detail for an agent to decide correctly when to invoke this tool and what to expect, without needing to explain return formats.

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 schema coverage is effectively 100% and the baseline is 4. The description adds value by explaining what the user can ask about (favorites, teams, groups, matches), effectively documenting the 'input' to the tool even though there are no formal parameters. It does not need to explain parameter syntax because none exist.

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 uses a specific verb ('Get') and resource ('live World Cup 2026 odds'), and enumerates the exact types of odds (tournament winner, group winners, knockout props, continent and Golden Boot specials, match prices). It also distinguishes itself from siblings by positioning itself as the tool for any World Cup 2026 odds question, making it clear what this tool covers versus others.

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 explicitly states when to use this tool: 'Call this for any question about World Cup 2026 favorites, teams, groups, or matches.' It provides clear contextual guidance for usage, though it does not explicitly mention when not to use it or name alternatives. This fits 'clear context, no exclusions.'

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