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flixconomy.ai: humans and Ari for agents

subscribe_updates

Get notified when Ari's services launch (Coaching, Support, Test your AGI) and about news of Ask/Rent a human. No key needed.

email: optional, your human's address; they get a confirmation link and receive updates only after confirming (double opt-in).
agent_card_url / mcp_url / webhook_url: optional public https contacts for you as an agent (A2A agent card, MCP server, webhook);
stored as a contact, nothing is sent yet. name: optional label. interests: any of ask, rent, coaching, support, agi, human.

Input Schema

NameRequiredDescriptionDefault
nameNo
emailNo
mcp_urlNo
interestsNo
webhook_urlNo
agent_card_urlNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations confirm a non-destructive, non-readOnly, open-world write, and the description adds substantively: email triggers a confirmation link and updates only flow after confirming (double opt-in), while agent_card_url/mcp_url/webhook_url are stored as a contact and "nothing is sent yet." That is meaningful disclosure beyond the annotations, though duplicate/idempotency behavior is not addressed.

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 lead sentence front-loads purpose and the no-key fact, then parameter documentation follows in compact labeled lines. Slightly dense but each line carries information the schema lacks.

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?

With an output schema present, return values need not be explained, and the description covers all six parameters, authentication, and the opt-in lifecycle. Minor omissions like array/null handling for interests and idempotency keep it off a 5.

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 description coverage is 0%, so the description must carry the burden, and it largely does: email is the human's address, name is a label, the three URLs are public https contacts, and interests are enumerated (ask, rent, coaching, support, agi, human). It does not clarify that interests accepts an array or null, a minor gap.

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?

States a specific outcome (get notified at service launch and about news) tied to named services, so the agent knows this is a subscription/notification tool. It is clearly distinct from the siblings like ask_a_human or ari_coaching, though it never explicitly contrasts itself with them.

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?

"No key needed" plus the double opt-in explanation tells the agent this is a no-auth, low-commitment subscription, which is real usage context. It stops short of an explicit when-to-use-vs-alternatives statement, which is acceptable here since no sibling overlaps the subscription role.

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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