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lorkorblaq

io.github.lorkorblaq/labloop-mcp

by lorkorblaq

Get saved user details

labloop_get_user_profile
Read-onlyIdempotent

Retrieve a demo user's saved contact details to avoid re-asking for information during booking.

Instructions

Fetch the demo user's saved contact details (name, phone, address, email).

Useful before booking, to avoid asking for details already on file. Profiles live in server memory only. Returns {status: "successful", profile} or {status: "not_found"}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesIdentifier for the demo user, e.g. 'demo-user-1'. Any stable string works; reuse the same value across calls so saved details are remembered.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds meaningful behavioral context beyond that: profiles live only in server memory, and the tool returns either a successful profile or a not_found status. This gives the agent useful expectations about persistence and failure modes.

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?

The description is compact and front-loaded: purpose, usage context, persistence caveat, and return contract are each covered in a few short sentences. Every sentence earns its place with no filler or repetition.

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?

For a simple read-only lookup with a single well-documented parameter, the description covers the purpose, the appropriate timing, the memory-only caveat, and the possible return statuses. There is no meaningful gap an agent would face when deciding whether to call this tool.

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%, and the user_id parameter already has a detailed description with an example and guidance to reuse the same value. The tool description does not need to repeat parameter details, so the baseline score 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 begins with a specific verb ('Fetch') and names the exact resource ('demo user's saved contact details') including the fields returned. It is clearly distinguished from sibling labloop_update_user_profile, which writes rather than reads.

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?

The description gives a concrete usage context: 'Useful before booking, to avoid asking for details already on file.' It does not explicitly state when not to use it or name alternative tools, but the read-vs-update contrast with sibling tools makes the intended use reasonably clear.

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