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get_sdk

Read-onlyIdempotent

Get install commands and a usage snippet for an official Gumlet SDK. language=python returns pip install gumlet (https://pypi.org/project/gumlet/). language=nodejs returns npm install @gumlet/nodejs-sdk (https://www.npmjs.com/package/@gumlet/nodejs-sdk). Aliases: py, node, js, ts, javascript, typescript, npm, pypi.

Input Schema

NameRequiredDescriptionDefault
languageYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered and the bar is lower. The description adds the per-language return mapping, but says nothing about error behavior for an unsupported language value, and an output schema already covers the return payload.

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?

Three dense sentences, front-loaded with the purpose, then the concrete value-to-result mapping, then the aliases. Every clause adds information an agent needs; no filler.

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 simple read-only lookup with annotations covering safety and an output schema covering the return, the description is nearly complete: purpose, valid inputs, aliases. The only gap is unspecified behavior for unknown language strings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and there are no enums, so the description must carry the parameter burden — and it does, enumerating concrete values (python, nodejs) plus a full alias set (py, node, js, ts, javascript, typescript, npm, pypi). This is exactly the compensation expected for an undocumented single-parameter schema.

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 verb ('Get') and a specific resource ('install commands and a usage snippet for an official Gumlet SDK'), which is concrete and unambiguous. It does not, however, differentiate itself from the sibling list_sdks, so an agent still has to infer which one to reach for.

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?

The usage context is implied (call it when you need SDK install instructions for a given language), and the alias list helps the agent supply a valid input. There is no explicit when-to-use vs. list_sdks guidance and no exclusions or prerequisites.

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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