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Meal

vital_get_meal
Read-only

Get meal summaries for a user over a date range. Vital API: GET /v2/summary/meal/{user_id}.

Input Schema

NameRequiredDescriptionDefault
user_idYesThe Vital user id (UUID).
end_dateNoEnd date yyyy-mm-dd (inclusive). Defaults to today upstream.
providerNoFilter to a single provider slug (e.g. oura, fitbit).
start_dateYesStart date yyyy-mm-dd (inclusive, required).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds only the upstream endpoint (GET /v2/summary/meal/{user_id}) and the date-range scoping; it does not disclose pagination, result granularity, or behavior when no data exists. With annotations carrying the safety profile, a 3 is appropriate.

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?

Two tight sentences, no padding, and the purpose is front-loaded ahead of the endpoint reference. It earns its space, though the endpoint line is marginally redundant.

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 simple read-only fetch with full schema coverage and readOnlyHint already set, the definition supplies what an agent needs to call it correctly. The absence of return-shape detail is largely moot since there is no output schema to rely on, but a hint about result granularity would have closed the gap.

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 all four parameters (user_id, start_date, end_date, provider) are already documented with formats and defaults. The description adds nothing beyond the schema's own date-range framing, which is the baseline expectation when the schema does the heavy lifting.

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

Purpose4/5

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

The description states a specific verb+resource: 'Get meal summaries for a user over a date range.' It clearly distinguishes the resource (meal) from the many sibling getters (activity, body, sleep, workouts), though it does not explicitly name which sibling to prefer in overlapping cases.

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?

There is no when-to-use guidance and no mention of alternatives among the roughly fifteen vital_get_* siblings. A caller must infer that this is the meal-specific counterpart to the other data getters purely from the resource name.

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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