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flixconomy.ai: humans and Ari for agents

test_your_agi

Read-onlyIdempotent

Coming soon. Test your AGI: Ari talks with your agent and checks it for own vision, drive without an assignment, steadfastness with reasons and morality as part of the reasoning.

Input Schema

NameRequiredDescriptionDefault
aboutNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description usefully adds that the tool operates through an agent-to-agent conversation rather than a simple call, plus the "Coming soon" availability caveat, but it says nothing about runtime cost, duration, or what the conversation requires of the caller.

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

Conciseness3/5

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

Two sentences, and the availability caveat is front-loaded, which is good. The second sentence is a dense, list-like abstraction ("own vision, drive without an assignment, steadfastness with reasons and morality") that is flavorful but low on actionable detail.

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

Completeness2/5

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

An output schema exists so return values need not be explained, and complexity is low with one optional parameter. However, "Coming soon" leaves the critical question of whether the tool can be invoked at all unanswered, and the "about" parameter is undocumented, so an agent lacks what it needs to call this correctly.

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 0% and the single "about" parameter is never mentioned in the description, so the caller has no idea what to supply. Unlike the zero-parameter baseline, there is an undocumented input here that neither schema nor description explains.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description does state a verb and resource ("Test your AGI") and explains the mechanism: Ari holds a conversation with your agent and evaluates vision, drive, steadfastness and moral reasoning. But the purpose is abstract and the leading "Coming soon" muddies whether the tool is even usable, so the agent cannot cleanly tell it apart from evaluation-adjacent siblings like ari_coaching or ari_support.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative guidance. Nothing says how this differs from ari_coaching or ari_support, and "Coming soon" gives no signal about availability or prerequisites for invocation.

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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