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Update Delx Wellness Profile

google_health_profile_update

Update your wellness profile by patching health preferences, goals, devices, training, nutrition, and safety flags. Requires explicit user intent to prevent accidental writes.

Instructions

Persist a partial patch to ~/.delx-wellness/profile.json. Requires explicit_user_intent=true (otherwise returns USER_ACTION_REQUIRED). Rejects secret-like fields (oauth, token, secret, password, cookie, refresh, api_key, session) at write time. Use to record preferred name, goals, devices, training context, nutrition context, exercise preferences, agent preferences, and safety flags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchYesPartial WellnessProfileDocument patch. Top-level keys: profile, goals, devices, training, nutrition, preferences, safety, notes.
response_formatNomarkdown
explicit_user_intentNoMust be true to persist. Prevents accidental writes from agent inference.
Behavior4/5

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

Annotations provide no safety clues, but the description discloses the need for user intent, rejection of sensitive fields, and the partial patch nature, which is sufficient for safe usage.

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?

The description is four sentences, front-loading the core action and then adding constraints and use cases, with no fluff.

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?

While no output schema, the description covers failure conditions (USER_ACTION_REQUIRED) and restricted field behavior, providing enough context for a mutation tool.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for all parameters, but the description adds critical context about secret field rejection and the user intent requirement, enhancing agent understanding.

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?

The description clearly states the tool performs a partial patch to a specific file, and the purpose is distinct from sibling read tools like google_health_get_profile.

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

Usage Guidelines4/5

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

The description lists use cases (recording name, goals, etc.) and a critical prerequisite (explicit_user_intent=true), but does not explicitly exclude alternative tools.

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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