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Universal Agents

Answer a frequently asked question

answer_faq
Read-only

Answers common questions about Universal Agents: agent readiness, working with teams, industries, timeline, what makes us different, data safety, adoption. Omit the question to get all of them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionNoThe question or a keyword, e.g. "data" or "how long".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds one real behavioral trait not in structured data: omitting the question returns the full set of answers. It says nothing about response shape or matching behavior for partial keywords.

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?

Two sentences, front-loaded with the purpose, with the default behavior appended. The topic list is long but earns its place by signaling what the agent can ask, so waste is minimal.

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?

For a single-parameter, read-only lookup tool with no output schema and annotations covering safety, the description supplies what is needed: subject matter, valid topics, and the omit-question default. Only the sibling differentiation is left implicit.

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

Parameters3/5

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

Schema coverage is 100%, so the schema fully documents the single 'question' parameter including an example keyword. The topic enumeration in the description hints at valid keyword domains, but adds little beyond the schema. Baseline 3 applies.

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 verb and resource ('Answers common questions about Universal Agents') and enumerates the covered topics, so the agent knows exactly what knowledge base backs it. It does not explicitly distinguish itself from the overlapping sibling about_universal_agents, which is the one real gap.

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

Usage Guidelines3/5

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

The sentence 'Omit the question to get all of them' is genuine usage guidance for the optional parameter. However, there is no guidance on when to prefer this over about_universal_agents or get_pricing, which are plausible alternatives for overlapping informational needs.

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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