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Glama

jumbo_get_profile

Retrieve a customer's loyalty profile, name, ID, Extra card details, and digital receipt preferences to personalize supermarket account interactions.

Instructions

Get customer loyalty profile, name, customer ID, Extra's card details, and digital receipt preferences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description carries full behavioral burden, yet it only lists return fields. It does not state authentication requirements (notable given a jumbo_login sibling exists), whether the call is read-only, error behavior, or rate limits.

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

Conciseness5/5

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

A single front-loaded sentence with the resource and returned data enumerated; no filler or redundancy. Every clause maps to actual payload content.

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?

With no output schema, the description usefully enumerates returned fields (profile, name, customer ID, card details, receipt preferences), which is the right place for that information. The main omission is auth/ownership context in a tool set that includes jumbo_login.

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 are no parameter semantics to explain; the baseline for a 0-param tool applies. The description correctly adds no spurious parameter discussion.

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?

States a specific verb ('Get') and resource ('customer loyalty profile') and enumerates the data returned (name, customer ID, Extra's card details, receipt preferences). This is clearly distinguishable from siblings like jumbo_get_balance or jumbo_list_receipts, though it never names an alternative explicitly.

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?

The description gives no when-to-use guidance, prerequisites, or alternative tools to consider. It implicitly suggests calling it when profile data is needed, but nothing is stated.

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