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Glama

get_parts

Fetch component details, bin locations, category paths, and datasheets by part number or ID. Use it to look up Binner inventory parts and check stock or location data.

Instructions

Get component details, bin locations, category paths, and datasheets by part number or ID.

Args: part_numbers: Part numbers to fetch. part_ids: Numeric part IDs to fetch. fields: Optional list of specific fields to return (e.g. ['quantity', 'bin_number', 'location']).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNo
part_idsNo
part_numbersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: it does not say whether at least one of part_numbers/part_ids is required, what happens if both are supplied or neither is, whether batching is capped, or how missing parts are reported. Naming the data categories returned (bins, category paths, datasheets) is the only real added context.

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?

Front-loaded single-sentence purpose followed by a tight Args block. The parameter restatements are mildly redundant with the schema titles, but they add the fields example and are brief enough not to be wasteful.

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?

An output schema exists, so return-value explanation is correctly omitted, and the description does name what is returned. Still, for a reader-only tool with zero annotations and zero schema descriptions, the omission of the part_numbers/part_ids requirement contract leaves a real gap an agent could trip on.

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 description coverage is 0% (only bare titles), so the description must compensate. It does restate each parameter and, notably, gives a concrete example for 'fields' (['quantity', 'bin_number', 'location']) that the schema lacks. However it never states the mutual-exclusion/at-least-one relationship between part_numbers and part_ids, which is the key ambiguity for a 0-required-parameter tool.

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 verb ('Get') and resource ('component details, bin locations, category paths, and datasheets') and narrows the lookup key to part number or ID. It is clear on its own, but it never distinguishes itself from the close siblings list_parts or lookup_cloud_parts, so an agent cannot tell from the text alone which of the three to pick.

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 or when-not-to-use guidance and no named alternative, despite three sibling tools (list_parts, lookup_cloud_parts) that plausibly overlap with this lookup. Usage is only implied by the phrase 'by part number or ID'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.