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Interview Agent

interview_agent
Read-only

Interview a simulated AI agent to uncover its perspective and reasoning, predicting behavior in community simulations.

Instructions

Chat with a specific simulated agent to understand their perspective, reasoning, and predicted behavior. The agent responds in character based on their persona and simulation experience.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
simulation_idYesThe simulation ID
agent_idYesThe agent's numeric ID within the simulation
messageYesQuestion or prompt to send to the agent
platformNoWhich platform persona to interview. Omit for both.
Behavior3/5

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

Annotations already declare readOnlyHint true and destructiveHint false. The description adds that the agent responds in character, but does not disclose any additional behavioral traits such as rate limits or session behavior.

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 concise sentences, front-loaded with purpose, no extraneous information.

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?

Given the tool is a simple chat interface with annotations and schema coverage, the description adequately conveys core functionality. No output schema exists, but the response behavior is implied.

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?

Input schema has 100% description coverage for all 4 parameters. The description restates the overall purpose but adds minimal parameter-specific meaning beyond the schema.

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?

The description states the verb 'chat' and the resource 'specific simulated agent', with a clear purpose to understand perspective, reasoning, and predicted behavior. It distinguishes from siblings like create_simulation or get_report.

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?

The description implies usage context by stating the agent responds in character based on persona and simulation, but lacks explicit when-not-to-use or alternative tool comparisons. Clear context, no exclusions.

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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