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My Deer account

get_my_account
Read-onlyIdempotent

Requires signing in with a Deer account. A plain-language summary of the signed-in customer's Deer account: their name, orders with status and tracking, store credit and rewards, and (when health access was granted) each health profile's weigh-ins, plan and side effects. The same picture the store's own assistant has. Start here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent and non-destructive, so the safety profile is covered. The description adds real context beyond them: the auth requirement and the conditional gate that health-profile detail appears only 'when health access was granted'. No output schema exists, and the return contents are summarized rather than structurally described, which keeps this short of a 5.

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-loaded with the auth prerequisite, then a single dense sentence enumerating the payload, closed with a two-word directive. 'The same picture the store's own assistant has' is mildly redundant with 'plain-language summary' but does convey data parity, so the sentence still earns its place.

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

Completeness5/5

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

With no output schema and no parameters, the description carries the full burden and meets it: it states the auth requirement, enumerates the returned data, and flags the conditional health-data gating. An agent needs nothing further to decide to call it and understand what comes back.

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?

The tool takes zero parameters, so there is no parameter semantics to document; baseline 4 applies. The description correctly implies the customer identity is derived from the signed-in session rather than passed in.

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?

Names a specific resource (the signed-in customer's Deer account) and enumerates its exact scope: name, orders with status and tracking, store credit and rewards, and health-profile weigh-ins, plan and side effects. The aggregate framing plus 'Start here' positions it against narrower siblings like list_my_orders and get_my_health without the agent needing to open any schema.

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?

'Start here' gives explicit entry-point guidance and 'Requires signing in with a Deer account' states the precondition. It does not name when to prefer the narrower siblings (list_my_orders, get_my_health, get_lab_results) over this aggregate, so routing for sub-queries 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.

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