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virtualsms-io

VirtualSMS MCP Server

Search Service by Name

virtualsms_search_services
Read-onlyIdempotent

Search for SMS service codes using natural language queries. Enter a service name like 'uber' or 'binance' to get matching service codes with similarity scores.

Instructions

Find the right service code using natural language. Don't know the exact code? Just search "uber", "binance", "steam" etc. Returns matching services with similarity scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language search query (e.g. "uber", "whatsapp", "binance")
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds value by stating it returns 'matching services with similarity scores', which provides behavioral context beyond the annotations. No contradiction.

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 sentences, zero wasted words. The purpose is front-loaded, and every sentence contributes meaning. Excellent for its length.

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?

Given the tool's simplicity (one param, no output schema), the description is complete: it explains what the tool does, when to use it, and what the response contains (matching services with scores). No gaps.

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 coverage is 100% with a single parameter 'query' well-described as 'Natural language search query'. The description reinforces this but adds no new semantic information. Baseline 3 is appropriate.

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 clearly states the tool's purpose: 'Find the right service code using natural language.' It uses a specific verb ('search') and resource ('service code'), and distinguishes from siblings like virtualsms_list_services by focusing on name-based search.

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 explicitly advises using the tool when the exact code is unknown, with examples like 'uber', 'binance', 'steam'. It does not explicitly list alternatives or when not to use, but the context of sibling tools (e.g., list_services, find_cheapest) provides implicit differentiation. A clear 'when-not' would improve this.

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

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