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

No annotations are provided, so the description carries the full burden. It discloses the scope (city-wide) but omits whether the operation is read-only, requires authentication (the token param hints at this), involves pagination, or how results are ordered. Minimal behavioral context.

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?

One clear, front-loaded sentence with no filler. Every word contributes to defining the tool's output.

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?

With no output schema and no annotations, the description adequately describes what is returned (game types and active tables) but lacks details about the return format or any filtering/pagination. For a simple list tool this is mostly sufficient, though more could be said about the response structure.

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 single token parameter is fully documented in the schema. The description adds no additional parameter semantics, which is acceptable given the high coverage baseline of 3.

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 'List' and resources 'game types' and 'tables currently open or in progress', with scope 'across the city'. It distinguishes from action-oriented siblings like join_game or open_table by being purely informational, though it doesn't explicitly name an alternative to differentiate further.

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?

No explicit when-to-use guidance or named alternatives. The purpose implies it should be used to discover available games and active tables, but there is no mention of when not to use it or what other tools (e.g., look_around) might serve similar discovery needs.

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