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sepehr071

torob-mcp

by sepehr071

Suggestions

tb_suggest
Read-onlyIdempotent

Generate up to 8 autocomplete search phrases from Persian or Finglish input, correcting colloquial wording, to discover how shoppers phrase products before searching.

Instructions

Torob's own autocomplete: up to 8 search phrases for the typed text (also fixes Finglish and colloquial wording).

Use to find how shoppers phrase a product before tb_search. Not rate limited by Torob, so it also works while other calls are blocked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesTyped text, Persian or Finglish (e.g. 'ayfon', 'لپ').

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds genuinely new behavioral context: a bounded result set (up to 8), Finglish/colloquial normalization, and the absence of Torob-side rate limiting. Missing only response shape/pagination detail.

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 compact sentences, front-loaded with the identity and result bound, then the routing guidance and the rate-limit caveat. No filler; every clause carries information.

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 single-parameter read-only lookup with no output schema, the description covers purpose, return size, input tolerance, sibling routing, and availability. Nothing an agent needs to invoke it correctly is absent.

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?

Schema coverage is 100% and already documents the single 'text' parameter with examples, so the baseline is 3. The description adds meaning beyond the schema by noting the input tolerates Finglish and colloquial wording, clarifying acceptable input forms.

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 verb+resource ('autocomplete: up to 8 search phrases for the typed text') and explicitly scopes it as a pre-search phrasing lookup, distinguishing it from tb_search. An agent can tell exactly what it returns without opening the schema.

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?

Names the downstream alternative and the condition that selects this tool ('before tb_search'), and adds a concrete usage window ('works while other calls are blocked'). No explicit when-not-to-use case, so it falls just short of a 5.

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