Skip to main content
Glama

IZeat

Get profile

get_profile
Read-only

Returns the customer's name and the target in force on a date (the latest target set on or before it). Use it when the customer asks directly about their profile or target. day_summary already includes the target for a day, so do not call both for a day comparison. Pass date (The customer's day as they said it — today, yesterday, 3 days ago, a weekday — or YYYY-MM-DD) to get that day's target; omit it for the latest one. Returns { first_name, last_name, target: { valid_from, kcal, protein_g, carb_g, fat_g } | null, target_history_count }. Example: get_profile { "date": "2026-09-03" } → target 2000 kcal since 2026-09-01 → tell them in one line. statement is the customer-facing IZeat message. It begins with "IZeat ·" so customers can distinguish information returned by IZeat from the assistant's own response. For write operations, it also states whether the requested change was recorded in their IZeat account. Account: Sam (review@izeat.app)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoThe customer's day as they said it — today, yesterday, 3 days ago, a weekday — or YYYY-MM-DD. Omit for the latest target.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataYes
statementYesCustomer-visible IZeat receipt. Its value begins with "IZeat ·".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds useful context: the exact return shape, the possibility of target being null, the date-default semantics, and a worked example of the call and response. The trailing paragraph about the customer-facing 'statement' field is somewhat ambiguous and doesn't map to any parameter, slightly muddying the disclosure.

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

Conciseness3/5

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

The core guidance is well front-loaded and efficient, but the tail contains an off-topic paragraph describing a 'statement' message format that corresponds to no parameter, plus an 'Account: Sam (review@izeat.app)' line. Those lines dilute an otherwise tight definition.

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 one-parameter, read-only tool with an output schema, the description supplies what an agent needs: purpose, when to use, when not to, default behavior, and an invocation example. It is close to complete, held back only by the confusing statement paragraph.

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?

With a single parameter at 100% schema description coverage, the schema already documents the date format and the 'omit for latest' default. The description restates this and adds an example, but contributes no new meaning beyond the schema, so the baseline of 3 applies.

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 gives a specific verb+resource and precisely states the scope: it returns the customer's name and the target in force on a given date (latest target set on or before it). It also distinguishes itself from sibling day_summary, so an agent can tell them apart without opening schemas.

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

Usage Guidelines5/5

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

It states explicit when-to-use ('when the customer asks directly about their profile or target') and when-not ('day_summary already includes the target for a day, so do not call both for a day comparison'), naming the alternative sibling. Nothing is left to inference.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources