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Score Deal

score_deal

Grade a car deal: compare asking price to expected market value. ZIP is optional. Same inputs/outputs as POST /api/score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinNo
zipNo
makeNo
trimNo
yearNo
modelNo
mileageYes
asking_priceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / required
      Previous value: -[
      -  "asking_price",
      -  "mileage",
      -  "zip"
      -]New value: +[
      +  "asking_price",
      +  "mileage"
      +]
  2. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, destructiveHint=false, so the agent knows this is a non-destructive open-world call. The description adds only 'Same inputs/outputs as POST /api/score,' which hints at the backing endpoint but discloses nothing about latency, auth, rate limits, or what the grading actually returns. No contradiction, but minimal added value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short, front-loaded sentences with no filler; the core action leads. The 'Same inputs/outputs as POST /api/score' clause is terse but of ambiguous value to an agent that cannot see that endpoint.

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?

For an 8-parameter tool with no output schema and 0% parameter documentation, the description is far too thin. It neither describes the resulting grade (the tool's entire value) nor explains how the vehicle-identity parameters combine, leaving the agent to guess at call shape and result meaning.

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

Parameters2/5

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

Schema description coverage is 0% across 8 parameters, so the description must carry the explanatory burden. It only clarifies that zip is optional (consistent with the schema's required list) and adds nothing about vin, make, model, trim, year, mileage, or asking_price, nor about how identity fields (vin vs. make/model/year/trim) interact or which combination is needed.

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?

States a specific verb+resource: 'Grade a car deal' with the mechanism 'compare asking price to expected market value.' An agent understands the operation immediately. It stops short of distinguishing itself from the sibling explain_grade, which is presumably the explanation counterpart to this scoring action.

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

Usage Guidelines2/5

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

The only guidance is 'ZIP is optional,' which is a parameter note rather than a use case. There is no statement of when to call this versus explain_grade, nor any prerequisite or exclusion. Usage context is only implied by the verb 'Grade.'

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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