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Vaultbeat MCP Server

Symptoms

get_symptoms
Read-onlyIdempotent

Retrieve decrypted recent symptoms from Apple Health and self-reported episodes, grouped by owner, with severity, dates, and coverage for analysis.

Instructions

Decrypt recent symptoms locally, grouped by data owner — both sources.

SENSITIVE. Each entry in owners carries owner_user_id and two lists: · days — symptoms imported from Apple Health (cramps, headache, fatigue, coughing…), one row per day with each sample's severity (mild/moderate/severe/present/…). These reach this server only when the user opted in on iOS — their own AI toggle, or the partner-AI toggle for a partner's. symptom_counts counts logged DAYS per type. · reported — episodes a person reported themselves, through log_symptom or the Vaultbeat app: entry_id, symptom_type, display_name (their own words), severity, local_date, onset_at / end_at (end_recorded: false means no end was logged — ask, do not assume it is still going), duration_minutes, body_location, triggers, note. reported_counts counts EPISODES per type. A type that exists in Apple Health is spelled the same in both lists (healthkit_type: true), so "headache" from either source is one symptom. To correct or remove a reported entry use update_symptom / delete_symptom with its entry_id; imported days are edited in Apple Health. Stays on-device, never re-exported.

Returns YOUR symptoms by default; partner=true returns your partner's Apple Health days only (if they share symptoms with you from their own app). A partner's reported episodes never reach you: the app and log_symptom seal them for their owner's own AI alone, so an empty reported under partner=true means "not shareable", not "none logged".

Carries a coverage block: quote coverage.days_covered (distinct days, not the row count) and coverage.span_days beside any average or trend. coverage.window_satisfied: false alone does NOT mean a short history: it is also false when older days exist beyond your window. 🔴 Before saying how far back someone's data goes, read coverage.more_available: true means this server can decrypt days OLDER than first_day that your limit left behind — re-read with a larger limit, or quote coverage.oldest_available as the real start of their history. Never report a limit-shaped window as the extent of their data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freshNo
limitNo
partnerNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.9.1
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / partner
      Added value: +{
      +  "default": false,
      +  "title": "Partner",
      +  "type": "boolean"
      +}
  2. First observedv0.8.1

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, non-destructive behavior, but the description adds substantial context: sensitive on-device data, Apple Health opt-in requirements, partner reported episodes never reaching the caller, empty partner reported meaning 'not shareable', and coverage.more_available pitfalls. This far exceeds the safety profile provided by annotations.

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

Conciseness4/5

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

Front-loads the core purpose and uses structured bullets for complex source and coverage differences. However, it is very long and enumerates many return fields despite an output schema already existing, so it is not maximally concise.

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?

For a complex, sensitive tool with an output schema, it covers source distinctions, partner limitations, correction workflows, and coverage caveats well. The main omission is the fresh parameter, and some return-field explanation duplicates the output schema.

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 0%, so the description must compensate. It clarifies partner=true and references using a larger limit in the coverage warning, but it never explains the fresh parameter, leaving one of three parameters undocumented.

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?

States a specific verb ('Decrypt') and resource ('symptoms'), with scope 'grouped by data owner — both sources' and default/partner behavior. It also distinguishes correction paths by naming update_symptom/delete_symptom, so an agent can tell what this tool is for.

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?

Explains that it returns YOUR symptoms by default, that partner=true returns only a partner's Apple Health days, and that reported entries are corrected via update_symptom/delete_symptom. It lacks an explicit comparison to unrelated siblings like get_metric/get_notes, but gives clear usage context and alternatives for mutation.

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