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pcprice.watch used PC part prices

list_tracked_models

Read-onlyIdempotent

The PC part models pcprice.watch tracks, with their IDs, optionally filtered by part type.

Input Schema

NameRequiredDescriptionDefault
part_typeNooptional filter: GPU, CPU, RAM, MOTHERBOARD, PSU, LAPTOP, IPHONE

Output Schema

NameRequiredDescriptionDefault
modelsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile needs no repetition. The description adds that results carry IDs, which is useful, but says nothing about result size, ordering, or what happens with an invalid part_type—gaps that matter for a catalog listing.

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 compact sentence that front-loads the resource and appends the filter behavior; nothing is padded. Phrasing is slightly awkward ('PC part models pcprice.watch tracks') but efficient.

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

Completeness4/5

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

With an output schema, rich annotations, and a fully documented single parameter, the description covers what an agent needs to decide and call. Only ordering/result-size expectations are left unstated, a minor gap given the structured fields already present.

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?

Schema coverage is 100% and the single parameter enumerates its allowed values (GPU, CPU, RAM, etc.) directly in the schema. The description only restates 'optionally filtered by part type,' so baseline 3 applies—no added semantics or format detail.

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 resource (PC part models tracked by pcprice.watch) and what is returned (their IDs), with an optional filter. It clearly reads as a catalog-listing tool, distinguishable from check_ebay_listing and get_used_price, though the listing verb itself is only implied by the name/title.

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?

Mentions the optional part_type filter, which implies the main use case (enumerate the catalog, narrow by category). However, it gives no explicit guidance on when to prefer this over the sibling price/listing tools, nor any prerequisite or exclusion.

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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