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Interview Agent

interview_agent
Read-only

Chat with a simulated agent to understand its perspective and reasoning. Ask questions to reveal predicted behavior based on persona and simulation experience.

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.
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds that the agent responds 'in character based on their persona and simulation experience,' providing context beyond annotations. No contradictions.

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, no unnecessary words. Front-loaded with the core action. Every sentence earns its place.

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 4 parameters, no output schema, and good annotations, the description covers the interactive behavior. It could mention that omitting platform means both, but overall it's sufficient. Score 4.

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 baseline is 3. The description does not add meaning beyond the schema; it merely restates the interactive nature. No extra semantics for platform or message format.

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 clearly states the tool's purpose: 'Chat with a specific simulated agent to understand their perspective, reasoning, and predicted behavior.' It uses a specific verb ('Chat') and resource ('simulated agent'), and distinguishes from sibling tools like get_report or list_simulations which are non-interactive.

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 for interactive probing of agent perspectives, which differentiates it from siblings. However, it does not explicitly state when to use or when not to use, nor name alternatives, so it falls short of a 5.

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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