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zm-gh-ibm

techzone-mcp

by zm-gh-ibm

get_collection

Retrieve a TechZone collection's deployment options—platforms, regions, datacenters, and templates—using its collection ID to select a region before creating a reservation.

Instructions

Get a TechZone collection's deployment options (platforms, regions, datacenters, templates) by collection id - from a catalog entry or a reservation's collectionId. Consult this before create_reservation to pick a region.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collection_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries full behavioral burden but only mentions it's a consultative read operation (get, consult). It doesn't disclose whether it returns all platforms/regions or paginates, nor what happens with invalid collection IDs. It's clearly read-only from the verb, but richer context on return shape or failure modes is missing.

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?

Two focused sentences with no wasted words. The first sentence establishes purpose and scope, the second gives usage guidance. Front-loaded and efficient. Minor deduction because the parenthetical listing of outputs (platforms, regions, datacenters, templates) could arguably be trimmed, but overall it's tight.

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?

Given only 1 parameter, no annotations, and presence of an output schema that presumably documents the returned deployment options, the description is fairly complete. It explains what data is returned, where the ID comes from, and how to chain it with create_reservation. The main gap is not describing response structure, though the output schema mitigates this.

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?

Schema coverage is 0%, so the parameter 'collection_id' is entirely undocumented by the schema ($ref-like plain string with no description). The description compensates meaningfully by explaining the parameter's source ('from a catalog entry or a reservation's collectionId'), giving the agent concrete provenance for where to obtain the ID. It doesn't specify format or type constraints, but the provenance guidance is strong.

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

Purpose5/5

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

The description has a specific verb+resource ('Get a TechZone collection's deployment options') and clarifies scope (platforms, regions, datacenters, templates). It distinguishes itself from siblings by specifying the collection_id source ('from a catalog entry or a reservation's collectionId'), which differentiates it from get_catalog_entry and get_reservation.

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

Usage Guidelines5/5

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

Explicitly states when to use it: 'Consult this before create_reservation to pick a region.' This provides clear prerequisite guidance and order-of-operations context. It names a specific alternative action (create_reservation) that should follow this call.

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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