observe

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

With no annotations, the description alone must disclose behavioral traits. It does mention the key conditional behavior (seat-scoping via seat_token) and implies a read-only snapshot, but it fails to explain what the observation contains, whether it has side effects, error conditions, or how the result is structured. This is a significant gap for a tool with no annotation safety net.

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 one concise sentence with information front-loaded: 'Current observation for a table' comes first, followed by the optional seat-scoping nuance. There is no filler or repetition. It is grammatically a noun phrase rather than a full sentence, but it remains efficient and scannable.

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?

The tool is simple with only two parameters and no nested output schema, so the bar for completeness is lower. The description covers the core operation and the one meaningful parameter behavior. Still, an agent would not know what the observation looks like, whether it is mutable, or what happens when seat_token is omitted versus supplied, so some gaps remain.

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 compensate. It does add meaning to seat_token by explaining it changes the observation to be seat-scoped. However, the table parameter is left at the schema's bare title 'Table', with no format, allowed values, or relationship to the sibling list_games. The compensation is partial at best.

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 identifies the resource ('a table') and the action ('Current observation'), which maps directly to the tool name 'observe'. It also distinguishes the optional seat-scoped mode from the default table-level observation, setting it apart from siblings like join/act/wait_turn. However, it lacks an explicit verb like 'get' or 'retrieve', so it stops just short of a perfect clarity score.

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 when to use this tool: when you need the current observation of a table, optionally seat-scoped by passing seat_token. It does not explicitly state when to avoid it or point to alternatives such as list_games or wait_turn. The usage context is clear enough for a simple read operation, but exclusions are missing.

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