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Analyst Agent — Autonomous Research & Monitoring

analyst_agent
Read-only

Pair with a Google News or finance scraper: ask about what you scraped, get a…. Pair with a Google News or finance scraper: ask about what you scraped, get a structured cited report. Works alongside any news or web scraper.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for Analyst Agent — Autonomous Research & Monitoring. See https://apify.com/noniner/analyst-agent.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and open-world behavior are covered. The description adds only that the output is a "structured cited report"; with no output schema present, the description should carry the burden of describing the return shape and citation behavior but does not.

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

Conciseness2/5

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

The description opens with a duplicated, truncated sentence ("ask about what you scraped, get a…") that wastes space and reads as a copy-paste error. The single useful sentence is buried after the corrupted text rather than front-loaded.

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?

For a tool with a nested input object, no output schema, and a garbled description, an agent cannot determine what to pass or what it will receive. The description is too thin and corrupted to be complete for this complexity level.

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?

There is a single parameter with 100% schema description coverage, so the baseline is 3. However, the schema "description" is merely a URL pointer, and the tool description adds no information about what the input object should contain, leaving the parameter's semantics thin on both sides.

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 second sentence states a recognizable verb+resource: ask about scraped data and get a structured cited report. However, the first sentence is duplicated and truncated mid-phrase ("get a…"), which muddies the purpose, and nothing distinguishes this from analyst-style siblings such as equity_analyst, company_due_diligence, or signal_radar.

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?

"Pair with a Google News or finance scraper" and "Works alongside any news or web scraper" give an implied usage context, pointing the agent toward scraper-then-analyze workflows. There is no explicit when-not-to-use guidance and no mention of the competing analyst tools in the sibling list.

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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