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challenge

Challenge a claim by using a skeptic agent to find counter-arguments, preventing agreement bias and uncovering hidden flaws in designs or decisions.

Instructions

Push back on a claim — agent with skeptic persona finds counter-arguments.

Use cases:

  • Anti-sycophancy: counterweight to consultations that always seem to agree

  • Sanity-check a design before committing to it

  • Surface failure modes you might have missed

The persona is fixed to skeptic; passing a different persona is not allowed (would defeat the tool's purpose).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentYes
claimYes
timeout_secondsNo
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool engages a skeptic persona to generate counter-arguments, indicating a non-destructive, analytical behavior. However, it does not explicitly state whether any state is modified or if there are side effects.

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?

The description is concise, front-loads the purpose, lists use cases in bullet format, and ends with a constraint. Every sentence adds value and is easy to scan.

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?

The description lacks information about the return value (no output schema) and does not cover all parameters. Given the complexity (3 params, no annotations), more detail is needed for an agent to use it correctly without guessing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 0% description coverage; the description does not explain the 'agent' or 'timeout_seconds' parameters. Only 'claim' is implicitly clear. The description mentions a fixed persona, which may conflict with the 'agent' parameter, causing confusion.

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 verb ('Push back') and resource ('a claim'), specifies the agent persona ('skeptic') and outcome ('finds counter-arguments'). It effectively distinguishes from siblings like 'consult' and 'consensus'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit use cases are provided (anti-sycophancy, sanity-check, surface failure modes), and a clear constraint is given (persona fixed to skeptic). This tells when to use and when not to, aiding correct tool selection.

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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