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start_agent_run

Submit a plain-English question to launch an automated investigation that searches social media platforms, analyzes posts, and delivers a markdown intelligence report with signals and confidence ratings.

Instructions

Start a Rolli Agent investigation. Submit a plain-English question; the agent plans a search strategy, queries Rolli IQ across platforms, analyzes posts, and produces a markdown intelligence report with signals, evidence links, and a confidence rating. Polls until the run is complete and returns the full results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesPlain-English question (e.g., "What is being said about Tesla battery recalls this week?")
available_creditsNoReasoning effort: 1=low, 2=medium (default), 3=high, 4=max. Higher values let the agent perform more searches at higher cost.
modeNoInvestigation mode (default: trend_briefing)
time_windowNoTime window to search (default: 7d). Examples: 24h, 7d, 30d
platformsNoPlatforms to search
max_postNoMaximum posts per platform (default: 50)
parent_run_idNoUUID of a parent run (for follow-ups)
metadataNoArbitrary JSON object stored on the run for your own tracking
Behavior4/5

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

No annotations provided, so description fully bears the burden. It explains that the tool polls until complete, returns a report with signals and confidence rating, covering key behavioral traits. No contradiction.

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

Conciseness5/5

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

Two sentences, front-loaded with main action, no fluff. Every sentence adds value.

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 8 parameters and no output schema or annotations, the description covers the tool's goal, process, and return type adequately. It could mention error handling or cost implications, but is sufficient for an agent to understand usage.

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 baseline is 3. Description adds minor context (e.g., 'reasoning effort' for available_credits, examples for time_window) but mostly mirrors schema descriptions.

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

Purpose5/5

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

Description uses specific verb+resource: 'Start a Rolli Agent investigation'. It clearly distinguishes from sibling tools like keyword_search or expert_search by focusing on multi-platform analysis and report generation.

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?

Describes the process (submit question, agent plans, polls until complete) but does not explicitly state when not to use it versus alternatives. However, it is clear that this is for complex investigations, not simple keyword lookups.

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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