get_predicted_lineup

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds real value beyond that by enumerating what the response contains, including bench options and a confidence rating, which matters because no output schema exists. Gaps remain around failure modes such as an unknown club slug or a club with no upcoming fixture, and around how 'verified' and 'predicted' data freshness are determined.

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?

It is a single front-loaded sentence that leads with the verb and resource, and every listed item describes a distinct part of the payload. The enumerative style is dense but earns its length; minor tightening is possible but nothing is wasted.

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 one-parameter read tool with full schema coverage and no output schema, the description is mostly sufficient because it outlines the returned fields. What is missing is the edge-case behavior (invalid slug, no fixture scheduled) and differentiation from get_all_lineups, which an agent needs in a crowded lineup-related sibling set. Adequate but with clear gaps.

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 100% and the single 'club' parameter already carries example slugs in the schema itself. The description adds no format guidance, normalization rules, or fallback behavior beyond what the schema states. Baseline 3 applies when the schema does the heavy lifting.

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 ('Get') and a precise resource set: predicted Starting 11, formation, player names and positions, bench options, and an AI Tactical Confidence rating, scoped to a Premier League club ahead of kickoff. An agent can tell this is a pre-match prediction tool rather than a historical or actual-lineup tool. It stops short of naming the nearest sibling (get_all_lineups) explicitly, so the distinction is inferable rather than stated.

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 phrase 'ahead of kickoff' implies the pre-match usage window, which is genuinely useful context. However, there is no explicit when-to-use or when-not-to-use guidance, and no routing statement against get_all_lineups or get_match_preview, both of which an agent could plausibly pick instead. Usage is implied rather than directed.

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