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GrizzlySMS-Git

Grizzly SMS MCP Server

Official

request_number

Request a virtual number for SMS verification, specifying service and country. Optional filters control price, operator, and provider to receive activation codes.

Instructions

Request a phone number for SMS verification

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoReferral code
ref_idNoReferral ID
countryNoCountry ID (e.g., 0 for Russia) or "*" or "any" for any country
forwardNoForward option (0 or 1)
serviceYesService code or name (e.g., "tg", "Telegram", "wa", "WhatsApp")
versionNoAPI version (v1=plain text, v2=JSON with details)
maxPriceNoMaximum price
operatorNoOperator name
providerIdsNoComma-separated provider IDs
activationTypeNoActivation type (1, 2, 3, or 4)
phoneExceptionNoComma-separated phone numbers to exclude
exceptProviderIdsNoComma-separated provider IDs to exclude
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the intended action without detailing side effects, cost implications, authentication requirements, or response format. For a mutating tool (requesting a number), this is a significant gap.

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 a single, focused sentence that efficiently states the tool's purpose. There is no wasted text, and the core action is front-loaded, making it highly concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 12 parameters, no output schema, and no annotations, a one-sentence description is severely lacking. It does not explain the request lifecycle, expected response, or error conditions, leaving the agent without enough context to invoke the tool correctly.

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%, so all 12 parameters are documented in the schema. The description itself adds no parameter information, but since the schema already provides full coverage, the baseline of 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 uses a specific verb ('request') and resource ('phone number') with a clear purpose ('for SMS verification'). It clearly distinguishes itself from sibling tools, which are all get/set operations on balance, wallet, status, prices, countries, or services.

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?

The description implies when to use the tool (when a phone number is needed for SMS verification) but does not explicitly state when to use it over alternatives or any exclusions. It relies on the user to infer the use case, and no sibling alternatives are mentioned.

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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