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Log a health event

log_event

Record health events such as symptoms, medication doses, meals, and activities with optional details like severity and timestamps.

Instructions

Record a discrete event: a symptom, a medication dose, a meal, or an activity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesshort label, e.g. 'headache', 'ibuprofen', 'lunch', '5k run'.
userNowhich person; defaults to the primary user.
detailNospecifics — dose ('400 mg'), food ('chicken salad'), distance, etc.
categoryYesone of 'symptom', 'medication', 'meal', 'activity', 'other'.
severityNooptional magnitude, e.g. symptom intensity 0-10.
timestampNoISO8601, 'YYYY-MM-DD', or 'now' (default).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations indicate readOnlyHint=false and idempotentHint=false, consistent with a write operation. Description adds the category examples but does not disclose details like whether events can be deleted, required permissions, or impact on existing data. Beyond the annotations, it provides minimal behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, no wasted words. Front-loaded with the core action and examples. Excellent conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that an output schema exists, the description covers the tool's purpose with examples aligned to the category parameter. It lacks usage comparisons with siblings, but the core use case is well covered. Overall, it is sufficiently complete for a low-to-moderate complexity tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already describes all parameters. The description adds example values ('headache', 'ibuprofen', 'lunch', '5k run'), which provide helpful context but do not significantly enhance understanding beyond the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb 'Record' and resource 'discrete event', listing specific examples (symptom, medication dose, meal, activity). This distinguishes it from sibling tools like add_medication or log_medication_taken.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. For instance, the difference between log_event and log_medication_taken or add_medication is not addressed, leaving the agent without decision criteria.

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

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