Skip to main content
Glama
sepehr071

torob-mcp

by sepehr071

Shop presence

tb_presence
Read-onlyIdempotent

Check how widely a product is sold across online and in-person shops, installment and warranty sellers, and price ranges before investigating specific offers.

Instructions

How widely a product is sold: online shops, in-person stores, installment shops, Torob-warranty shops, price window.

One cheap call to judge availability before digging into tb_sellers or tb_stores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesProduct id (the UUID from search cards, e.g. '57ea65ae-0798-4cd0-96a7-38d8af180345'), a '/p/<id>/...' path or a full torob.com product URL.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds a cost/latency signal ("one cheap call") that is genuinely beyond the annotations, but says nothing about return shape or pagination. With annotations carrying the behavioral load, a 3 is fitting.

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?

Two short sentences, front-loaded with the resource and its dimensions, with the routing hint second. No filler.

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 simple read-only, single-parameter tool, the description plus annotations cover purpose, dimensions, and when to use it. The only gap is that, absent an output schema, the precise return structure is only hinted at via "price window" rather than stated.

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?

Only one parameter and schema description coverage is 100%, so the schema already documents the accepted product id/path/URL formats. The description adds no parameter detail beyond that, which is the expected baseline when the schema does the work.

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?

States a specific resource (a product's shop presence) and enumerates exactly what it measures: online shops, in-person stores, installment shops, Torob-warranty shops, and price window. This is clearly distinguishable from siblings like tb_sellers and tb_stores, which it names.

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?

Gives an explicit when (judge availability first) and names the alternatives to use for deeper digging (tb_sellers, tb_stores). The routing decision is stated outright rather than left to inference.

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