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jumbo_login

Check authentication status or establish a session with the Jumbo supermarket account to verify active connection and return your loyalty identity.

Instructions

Check authentication status or establish session with Jumbo. The MCP server uses persistent pre-configured Auth0 tokens, so this verifies active connection and returns user loyalty identity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries full behavioral burden and does well: it discloses that the server uses persistent pre-configured Auth0 tokens (so no credential parameter is expected), that it verifies an active connection, and that it returns a user loyalty identity. Failure/expiry behavior is not described, but the auth model is clearly communicated.

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 sentences, front-loaded with the primary action and followed by the mechanism/return context. No filler, though the second sentence is slightly packed with two ideas (auth model and return value).

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 no-parameter, no-annotation, no-output-schema tool, the description supplies the key missing context: the auth mechanism and what the call returns. It is nearly sufficient, missing only error/expiry handling that an agent might want to know.

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?

There are zero parameters, so per the rubric the baseline is 4. The description correctly implies no input is needed, and nothing about parameter meaning is left ambiguous.

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 names a specific verb-and-resource pair ('check authentication status' / 'establish session with Jumbo'), which clearly distinguishes it from all the data-retrieval siblings in the list. Its purpose is unambiguous, though it does not explicitly contrast itself against any named sibling.

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

Usage Guidelines3/5

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

Usage is implied: an agent should call this to verify connectivity or start a session. There is no explicit when-to-use or when-not-to-use framing, and no ordering guidance (e.g. call before other tools), so the agent must infer the trigger condition.

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