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torob-mcp

torob-mcp

by sepehr071

Product details

tb_product
Read-onlyIdempotent

Retrieve a Torob product's full record—name, Toman price range, category, brand, key specs, and cheapest usable offer—by product UUID or URL, with optional full spec tables.

Instructions

Full record of one product: name, price range (Toman), category, brand, key specs, cheapest offer.

price_min/price_max include unreliable offers; cheapest_offer is the cheapest usable one on the page.

Input Schema

NameRequiredDescriptionDefault
productYesProduct id (UUID) or torob.com product URL.
full_specsNoAdd the full spec table by section (long).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.2.0
    • changedInput schema / properties / full_specs / description
      Previous value: -"Also return the complete spec table grouped by section (long)."New value: +"Add the full spec table by section (long)."
    • changedInput schema / properties / product / description
      Previous value: -"Product id (the UUID from search cards, e.g. '57ea65ae-0798-4cd0-96a7-38d8af180345'), a '/p/<id>/...' path or a full torob.com product URL."New value: +"Product id (UUID) or torob.com product URL."
  2. First observedv0.1.1

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already declare read-only, idempotent, open-world, and non-destructive behavior. The description adds useful domain-specific semantics beyond the annotations: price_min/price_max include unreliable offers, while cheapest_offer is the cheapest usable offer on the page.

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 front-loaded with the core purpose and then adds one focused clarification about price reliability. Both sentences are useful and there is no redundant or filler text.

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 two-parameter read-only tool with full schema coverage and annotations, the description gives a clear inventory of returned fields and explains an important price caveat. It is nearly complete, though it could briefly clarify how this differs from related tools like tb_offers or tb_variants.

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 schema already explains that 'product' accepts a UUID or torob.com URL and that 'full_specs' adds the full spec table. The description does not add further meaning about the input parameters, so the baseline of 3 applies.

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 states a specific resource and scope: a full record for one product, listing name, price range in Toman, category, brand, key specs, and cheapest offer. It distinguishes itself implicitly from search/batch siblings by focusing on a single product, but it does not explicitly name alternatives such as tb_offers or tb_variants.

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 by 'Full record of one product,' suggesting this is for retrieving details about a known single product rather than searching or listing many. However, there is no explicit when-to-use guidance, no exclusions, and no named alternatives among the many sibling tools.

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