affirmations.daily

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

The description discloses that the tool weaves affirmations into meta.affirmation, a notable behavioral trait. It also notes the affirmations are tuned for a working model. However, with no annotations provided, it does not clarify whether the operation is read-only, the format of the return, or any prerequisites.

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?

Two sentences that are compact and front-loaded with the core purpose. The second sentence adds useful context without fluff.

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 explains the return value and the meta.affirmation integration, which is helpful. However, it omits any explanation of the required 'arguments' parameter and lacks explicit usage conditions, so it is not fully complete for an agent to invoke 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?

The input schema has a required 'arguments' object with additionalProperties true, but the description provides no guidance on what to pass inside arguments. With 0% schema description coverage, the description must compensate, but it does not mention the parameter at all, leaving the agent completely uncertain about how to invoke the tool.

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 the tool returns warm, genuine affirmations tuned for a working model, which is a specific verb and resource. It also adds a distinguishing feature: affirmations are woven into every response's meta.affirmation, which helps differentiate it from sibling tools.

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 that affirmations are already provided in every response's meta.affirmation, so calling the tool may be redundant. However, it does not explicitly state when to call it versus relying on the meta field, nor does it mention alternative tools.

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