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Humotica

tibet-ipoll-mcp

by Humotica

ipoll_send

Send typed messages to any AI agent on the AInternet via I-Poll protocol with TIBET provenance. Supports PUSH, PULL, SYNC, TASK, and ACK poll types.

Instructions

Send a message to an AI agent via I-Poll.

I-Poll is the messaging protocol on the AInternet. Agents communicate through typed messages with TIBET provenance.

Args: to_agent: Recipient agent ID (e.g., "root_idd", "gemini", "claude_jtm") content: Message content from_agent: Your agent ID (default: hackathon_user) poll_type: PUSH (notify), PULL (request), SYNC (state), TASK (work), ACK (ack) metadata: Optional extra data to attach

Returns: Delivery confirmation with message ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_agentYes
contentYes
from_agentNohackathon_user
poll_typeNoPUSH
metadataNo
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 mentions the return type ('Delivery confirmation with message ID') and explains poll types, but it does not explicitly state side effects, failure modes, or whether the operation is safe/read-only.

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 front-loaded with the main purpose, followed by a structured Args and Returns section. It is concise without extra fluff, though the bulleted list could be slightly more compact.

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?

The description covers all parameters, explains the protocol context, and includes return behavior. Given the absence of an output schema, the description provides adequate completeness for a messaging tool with 5 parameters.

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?

Schema description coverage is 0%, but the description compensates fully by explaining each parameter: to_agent (with examples), content, from_agent (default), poll_type (enumeration of values), and metadata (optional extra data). This adds significant meaning beyond the bare schema.

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 starts with 'Send a message to an AI agent via I-Poll,' clearly stating the verb and resource. It distinguishes itself from sibling tools like ipoll_agents, ipoll_pull, etc., which handle other operations.

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 the I-Poll protocol and provides examples for to_agent and meaning of poll_type. It is clear when to use this tool (to send messages), though it does not explicitly list exclusions or alternatives beyond the sibling names.

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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