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p1_practice_deck

Show a sample of Nuvidian P1's 'Today's 10' deck built from fictional Florida agents, so a human can see what the product does before signing up. Call it when someone asks 'what is P1?' or 'show me'. The cards are unmistakably fake (555-01xx phones, @example.com emails, brokerages ending in ' (demo)'), scored and sorted like a real deck. Show the cards in order with score and the plain-English 'why' line, then read out the note: it says this is a public sample and how to start a free workspace. Nothing is written and nobody is contacted.

Input Schema

NameRequiredDescriptionDefault
nNoHow many sample cards to show (1-20, default 10).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses that the data is unmistakably fake, that nothing is written, and that nobody is contacted. It also specifies how the output should be presented, including card order, score, and the plain-English 'why' line.

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 front-loaded with the core purpose and usage trigger, then adds only operationally useful display instructions and safety notes. Every sentence contributes something an agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-annotation, no-output-schema tool, the description is complete: it explains what the sample contains, how fake the data is, how to present the results, and what side effects do not occur. An agent has enough context to call and present it correctly.

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 only one parameter, n, and the schema already documents its range and default with 100% coverage. The description adds no parameter-specific meaning beyond the schema, so the baseline 3 applies.

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 a specific verb and resource: showing a sample of Nuvidian P1's 'Today's 10' deck. It also scopes the content as fictional Florida agents deliberately built as a pre-signup demo, which implicitly distinguishes it from real-practice siblings like p2_practice_today.

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?

It gives explicit trigger phrases: call it when someone asks 'what is P1?' or 'show me'. It does not name alternatives such as describe_product or p2_practice_today, so the when-not/alternative routing is implied rather than stated.

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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