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Moonshot Lab (demo)

get_trade_in_scenarios

Ready-made demo trade-in scenarios (one per state) that can be passed to estimate_out_the_door.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose useful behavioral facts - the data is static/demo, one scenario per state, and meant to feed another tool - but says nothing about whether it is read-only, whether results change, or what a scenario record contains.

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?

A single 16-word sentence with no filler, front-loading what the tool yields and ending with the routing hint. Nothing could be removed without losing information.

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

Completeness3/5

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

With no output schema and no annotations, the description should describe the shape of a returned scenario (fields, how many states, format), but it only gives the count-per-state and the consumer. Adequate for a simple no-arg getter, but incomplete on return structure.

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

Parameters4/5

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

The tool takes zero parameters, so per the baseline a 4 applies. The description appropriately makes no parameter claims and instead explains the output payload, which is the only variable an agent needs to reason about.

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

Purpose4/5

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

The description states a specific resource - 'ready-made demo trade-in scenarios (one per state)' - and its intended downstream use, so an agent can distinguish it from inventory/listing getters. It never uses an explicit verb ('returns', 'retrieves'), but the cardinality and content are unambiguous.

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

Usage Guidelines3/5

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

It names the consumer tool ('can be passed to estimate_out_the_door'), which implies the when-to-use context, but there is no explicit trigger condition or statement that this is only for demo/testing rather than real trade-in data. Usage is strongly 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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