Skip to main content
Glama
BlockRunAI

BlockRun MCP

Official
by BlockRunAI

blockrun_phone

Look up US/CA phone numbers, detect fraud signals like SIM-swap, provision or release numbers, and make outbound AI voice calls using owned numbers.

Instructions

Phone-number intelligence, US/CA number provisioning, and outbound AI voice calls.

Common paths (path = everything after /v1/):

  • phone/lookup POST body: { phoneNumber } ($0.01)

  • phone/lookup/fraud POST body: { phoneNumber } — SIM-swap + call-forwarding signals ($0.05)

  • phone/numbers/buy POST body: { country?: "US"|"CA", areaCode? } — 30-day lease ($5.00)

  • phone/numbers/renew POST body: { phoneNumber } — extend 30 days ($5.00)

  • phone/numbers/list POST body: {} — your wallet-owned numbers ($0.001)

  • phone/numbers/release POST body: { phoneNumber } — release back to pool (free)

  • voice/call POST body: { to, task, from, voice?, max_duration?, ... } ($0.54 flat)

  • voice/call/{call_id} GET (no body) — poll status + transcript (free)

REQUIRED for voice/call: from must be a number your wallet owns. Provision one with phone/numbers/buy first ($5, 30-day lease).

Voice presets: nat, josh, maya, june, paige, derek, florian. Phone numbers use E.164 format (e.g. +1 followed by 10 US digits, or +).

Voice call flow + voice preset details + full body shapes in the phone skill.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesEndpoint after /v1/. Use 'phone/...' for lookup + number ops, 'voice/call' for outbound AI calls, 'voice/call/{id}' (no body) to poll status.
bodyNoJSON body. Sent as POST. Omit for the free GET poll (voice/call/{call_id}).
agent_idNoAgent identifier for budget tracking and enforcement.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses pricing, lease terms, and distinguishes free vs. paid operations. However, it omits details like rate limits, idempotency, or error handling. Some behavioral traits (e.g., that 'release' is free) are noted, but overall transparency is moderate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with bullet points and sections, front-loading the purpose. It is somewhat lengthy due to listing multiple endpoints and prices, but each sentence adds value. Could be slightly more concise, but overall efficient.

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?

Given the complexity of multiple sub-ops and no output schema, the description covers essential usage: endpoints, required parameters, prerequisites, and pricing. It references a 'phone skill' for full body shapes, which is a minor gap. Still, it provides enough context for an agent to invoke the tool correctly.

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 the description adds significant meaning beyond the schema: it explains the 'path' parameter with concrete examples, describes 'body' as JSON with optional shapes, and clarifies 'agent_id' for budget tracking. This enriches the agent's understanding beyond parameter names.

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 clearly identifies the tool as handling phone-number intelligence, provisioning, and outbound calls. It lists specific endpoints with brief explanations, making the purpose understandable. However, it does not differentiate from sibling tools, which are separate skills (e.g., blockrun_chat, blockrun_dex), so no sibling ambiguity exists.

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 provides explicit usage context, such as requiring a wallet-owned number for voice calls and explaining how to provision one via phone/numbers/buy. It also notes voice presets and E.164 format. It does not explicitly state when not to use this tool versus alternatives, but siblings are different domains, so this is adequate.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BlockRunAI/blockrun-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server