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

No annotations are provided, so the description carries the full burden. 'Suggest' implies a non-mutating, read-only recommendation (it does not apply the move), which is useful context, but it omits latency/cost of the AI call and any constraints on the state input.

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?

Two compact sentences with the action front-loaded and the scope detail (difficulty levels, family coverage) second. Little waste, though the second sentence is somewhat promotional.

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 2-param tool with no output schema and no annotations, the description is adequate but thin: it does not describe the shape of the returned suggestion (e.g., move notation, evaluation) or confirm that the game state is left unchanged.

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 'state' and the 'difficulty' enum. The description's '5 difficulty levels' merely reinforces the enum and adds no new parameter detail, making the baseline 3 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?

States a specific verb+resource: 'analyse the position and suggest the best move.' This distinguishes it from mutating siblings like play_apply_move, though it does not explicitly differentiate from chess_analyze_position.

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 'suggest the best move' implies the usage scenario (you want a recommendation rather than to make a move), but there is no explicit when-to-use/when-not guidance and no alternative tool is named.

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