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Request short code

request_short_code
Destructive

Ask our team for a short code (or a toll-free number they set up). Provisions nothing by itself; carriers take 8-12 weeks to approve a short code.

Input Schema

NameRequiredDescriptionDefault
typeYes
use_caseYesWhat you will send, in a sentence or two.
business_nameYes
monthly_volumeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, openWorldHint=false and idempotentHint=false, so the description earns credit for adding genuinely new facts: nothing is provisioned immediately and carrier approval takes 8-12 weeks. That latency/human-in-the-loop disclosure is exactly the kind of context annotations cannot express. It does not, however, say what happens after submission (request ID? where to track status?) or address why a non-provisioning request carries destructiveHint=true.

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 tight sentences with the core constraint (nothing provisioned, 8-12 week carrier approval) front-loaded. No filler, no restatement of the tool name.

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

Completeness3/5

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

With no output schema and four required parameters at 25% coverage, the description should say what the call returns and how to check approval status. It covers the single most important behavioral fact (long async approval) but leaves the post-call path and most parameter expectations to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25% — just use_case has a description — so the description needs to compensate and largely does not. The parenthetical "(or a toll-free number they set up)" loosely maps to the type enum, but business_name and monthly_volume receive no explanation of format or expectation anywhere, and no parameter is mentioned by name.

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?

"Ask our team for a short code (or a toll-free number they set up)" gives a specific verb (request) and resource (short code / toll-free number), and "Provisions nothing by itself" cleanly separates it from provisioning siblings like purchase_number or bulk_purchase_numbers. It stops short of naming any sibling explicitly, so it lands at a clear-but-not-differentiating 4.

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 intent (you need a short code or toll-free number and must go through an approval process) is implied but never stated as a when-to-use rule. There is no guidance on when to prefer this over purchase_number/search_available_numbers, nor on how it relates to get_toll_free_verification or list_number_requests for follow-up.

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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