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get_build

Read-only

Fetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.

Input Schema

NameRequiredDescriptionDefault
slugYesBuild slug from a RigBase /builds/.../ URL.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered and the description doesn't contradict them. It adds real behavioral value by disclosing the return contents and the fact that this is a single-record lookup keyed by slug. It stops short of error behavior (unknown slug) or whether results are cached/live.

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

Conciseness5/5

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

Two sentences, front-loaded with the verb and cardinality, followed by the return summary. Every clause carries information an agent needs; nothing is restated from the name or title.

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?

For a one-parameter read tool with no output schema, the description covers the essentials: what it fetches, the key format, and what the response contains. The only gap is the absence of any note on failure when a slug doesn't exist, which matters for a slug-keyed lookup.

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 100%, so the baseline is 3, but the description goes beyond it with a concrete literal example ("dual-3090-ryzen-3700x") that pins down the expected slug format. Combined with the schema's note that the slug is derived from a /builds/.../ URL, the agent has both provenance and shape.

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?

"Fetch one RigBase build by slug" names a specific verb (fetch), resource (RigBase build), and cardinality (one), which cleanly separates it from the sibling search_builds. The second sentence enumerates the payload (parts, measured results, source credit, canonical URL), so the agent knows exactly what it gets back.

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?

Usage is only implied: the description says a slug is required and the schema says the slug comes from a /builds/.../ URL, which tells the agent the precondition but not the routing rule. It never names search_builds or best_gpu_for_model as the alternative for discovery workflows, so an agent must infer that this is the follow-up call after a search.

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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