get_morning_training_readiness

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It states that the tool evaluates recovery status and readiness, but it does not disclose what the score represents, potential data availability issues, whether readings are tied to a specific device, or any other behavioral caveats beyond the basic read operation suggested by 'Get.'

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 concise and front-loads the tool's purpose, followed by a short clarifying sentence and an Args block. There is minor redundancy between the tool name, title sentence, and explanation, but no material waste.

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?

For a one-parameter tool with an output schema, the description covers the basic input format and general semantics. It is not fully complete because it fails to differentiate from get_training_readiness, lacks behavioral alerts, and does not clarify the exact meaning of the date parameter beyond format.

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 provide the date format (YYYY-MM-DD) in the Args section, which is the key addition. It stops short of explaining what date should be used (e.g., the morning date vs. the previous night), leaving some semantic ambiguity.

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 (morning training readiness score) and explains what it measures: recovery status and readiness to train based on overnight metrics. However, it does not explicitly distinguish itself from the similarly named sibling get_training_readiness, so it relies on the 'morning' qualifier rather than stated differentiation.

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 usage via 'morning' and 'overnight metrics,' suggesting this is the appropriate tool for immediate-morning readiness assessment. It does not, however, provide explicit when-to-use guidance or mention alternatives such as get_training_readiness, get_body_battery, or get_hrv_data.

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