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Trail Fortress Fitment

Find parts for a truck

find_parts_for_vehicle
Read-only

Returns a fitment-checked listing URL and in-stock parts with listable prices only. Manufacturer exclusions are on each product page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makeYes
yearYes
limitNo
modelYes
categoryNoOptional category slug, for example lift-kits.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true. The description goes beyond that by disclosing the filtering behavior applied to results (fitment-checked, in-stock only, listable prices only) and flagging manufacturer exclusions as living on product pages. It stops short of explaining result limits or pagination, so it is useful but not exhaustive.

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?

A single tight sentence with no filler, front-loaded on the most decision-relevant fact (what comes back). It is efficient, though the density comes partly from omitting necessary input detail.

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?

With five parameters, three of them required and 20% schema coverage, plus no output schema, the description leaves the agent without any guidance on required identifiers, result limits, or how to choose this tool over search_parts/check_part_fit. It partly compensates for the missing output schema by summarizing return content, but the overall picture is incomplete.

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 only 20% (just the optional category slug), so the description would need to carry parameter meaning for make/year/model/limit. It mentions none of them, adding zero information about required identification fields or the limit control.

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 name and title establish the verb+resource (find parts for a vehicle), and the description sharpens it by describing the output: a fitment-checked listing URL plus in-stock parts with listable prices. However, it never states the input basis (year/make/model) and gives no differentiation from the sibling search_parts or check_part_fit, so it falls short of a 5.

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?

There is no when-to-use direction, no prerequisite (e.g., 'call list_vehicle_options first'), and no mention of alternatives such as search_parts or check_part_fit. The only caveat, 'Manufacturer exclusions are on each product page,' is a data note rather than usage guidance.

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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