twitch_schedule

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

Since annotations are absent, the description carries the full behavioral disclosure burden. It explicitly states that the tool is for reading public data, defines the returned segment content, and covers the important edge case where empty segments list is returned rather than an error. This is exceptionally transparent for a read-only tool.

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 brief and to the point, with each sentence adding new context. There is slight redundancy between the first and second sentences, but overall the structure is efficient and front-loaded.

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 description adequately compensates for the absence of an output schema by describing what the returned segments will contain, and it also covers a special case. Combined with the schema's parameter documentation, no critical gaps remain at the expected decision and invocation level.

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 input schema already provides comprehensive descriptions for both parameters, including channel login format and weeks default/max, so parameter semantics are fully covered by the schema. The tool description itself adds no parameter-specific guidance, which matches the baseline for high schema coverage.

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 uses a specific verb and resource: 'Get a Twitch channel's broadcast schedule,' with enough detail to know it covers planned segments and their fields. This clearly distinguishes it from other Twitch-related siblings like stream, video, or clip retrieval.

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 clearly communicates that this tool is for fetching a Twitch channel's upcoming scheduled segments starting today. It does not explicitly name alternatives or exclusions, but the scheduling context is strong enough for an agent to infer when it is appropriate.

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