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AgentAnycast MCP Server

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by AgentAnycast

send_task

Send an encrypted task to a remote AI agent via PeerID, skill name, or HTTP URL and receive the result.

Instructions

Send an encrypted task to a remote AI agent and wait for the result.

The target determines how the agent is reached:

  • PeerID (starts with "12D3KooW"): direct encrypted P2P connection

  • Skill name (e.g. "translate"): automatic routing to the best agent

  • HTTP URL (starts with "http"): standard A2A HTTP bridge

Args: target: PeerID, skill name, or HTTP URL of the target agent. message: The message or instruction to send to the agent. timeout: Maximum seconds to wait for a response (default: 30).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
messageYes
timeoutNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions encryption and waiting for result but does not clarify that the operation is blocking, potential failure modes, or error handling. 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 concise yet comprehensive, using bullet points and clear formatting. Every sentence adds value without redundancy.

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 presence of an output schema, the description adequately covers the tool's purpose, target types, and parameters. It could mention prerequisites like agent availability but overall is sufficient for the sibling context.

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

Parameters5/5

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

With 0% schema description coverage, the description adds rich meaning to all parameters: target types with examples, message purpose, and timeout default. This greatly aids correct parameter usage.

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 sends an encrypted task to a remote AI agent and waits for the result. It distinguishes from siblings by focusing on task dispatch rather than discovery or info retrieval.

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 explains when to use different target types (PeerID, skill name, HTTP URL) with examples, providing clear context. However, it does not explicitly state when not to use this tool or mention alternatives.

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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