get_random_inbox

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

The description mentions random sampling but does not disclose whether the tool is read-only, any side effects, or behavioral nuances. Since no annotations are provided, the description carries full burden; it provides basic transparency but omits details about safety or consistency.

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 short and front-loaded with the main purpose. However, the 'Args:' section with delimiter lines adds unnecessary verbosity. It could be more streamlined without losing clarity.

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?

Given the tool's low complexity (1 non-required parameter, no annotations, output schema exists), the description sufficiently covers the purpose and parameter. It does not explain the output structure, but the output schema likely covers that. The description is adequate for this context.

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?

The description adds significant value to the parameter 'count' by explaining 'Number of random items to return. Defaults to 5.' This exceeds the schema which only provides type and default; schema coverage is 0%, so the description fully compensates.

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 states 'Get a random sample of todos from Inbox,' specifying the verb 'get', resource 'todos from Inbox', and the random sampling nature, effectively distinguishing it from siblings like get_inbox and get_random_todos.

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 explains the default behavior of the count parameter but does not explicitly state when to use this tool versus alternatives such as get_inbox or get_random_anytime. It is clear in its context but lacks explicit usage boundaries.

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