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Argus — Autonomous Intelligence Agent

argus
Read-only

Describe a monitoring mission in plain English. Describe a monitoring mission in plain English. Argus researches public sources on a schedule, remembers prior runs, and delivers cited briefings.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for Argus — Autonomous Intelligence Agent. See https://apify.com/noniner/argus.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true); the description usefully adds that operation is scheduled/recurring, that state persists across runs via memory of prior runs, and that output is cited briefings. It does not disclose latency, cost, or whether a mission can be cancelled or modified.

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?

The first sentence is duplicated verbatim ("Describe a monitoring mission in plain English." appears twice), which is wasted space and suggests a generation defect. Once past the duplication, the remaining sentence is dense and front-loaded with the core value.

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

Completeness3/5

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

With no output schema and an input schema that is essentially an opaque nested object with a documentation link, the description carries the full burden and partially meets it: purpose, persistence, and citation behavior are covered. What a mission string should contain, expected cadence, and return format are all left unspecified.

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?

There is one parameter and schema coverage is nominally 100%, but the schema entry is only a pointer to an external URL and says nothing about content. The description compensates by telling the agent the input is a natural-language mission description, which is the key semantic fact an agent needs. Scheduling or cadence options are never explained.

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?

The description states a specific capability: it researches public sources on a schedule, remembers prior runs, and delivers cited briefings from a plain-English mission. That is more than a restatement of the name, though it never differentiates itself from nearby siblings such as signal_radar, competitor_pulse, or analyst_agent.

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?

"Describe a monitoring mission in plain English" implies the usage mode and the shape of the invocation, so an agent can infer when this fits. It gives no explicit when-not conditions and never names an alternative tool for overlapping jobs like ongoing signal monitoring.

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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