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

The description adds substantial context beyond the annotations: partial-update semantics, a conditional dependency for auto_join_enabled, required roles for changes, and that changes are written to the workspace access journal. These details are important for safely invoking a tool that can both read and mutate policy.

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 front-loaded, dense, and structured around the read path, update path, dependency rule, and permission/audit behavior. Every sentence carries relevant operational information without padding.

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, the description still names the returned policy fields during a read. It covers the key mutation constraints, permission requirements, and audit behavior, so an agent has enough context to call the tool correctly.

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%, so the baseline is 3, but the description adds a meaningful cross-parameter constraint: auto_join_enabled=true requires either auto_join_transcribe_only=true or a default_meet_agent_id. It also reinforces the partial-update behavior of omitted parameters.

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 states a precise verb pair and resource: reading or changing whether a meeting bot joins Google Meet calls of a connected Calendar. It also names the exact policy fields involved, making the tool's scope immediately clear.

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?

It clearly explains the read-versus-write behavior: omitting settings performs a read, while supplying settings performs a partial update. However, it does not name alternative tools or explicitly state when not to use this tool.

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