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kotlin::sdk.recommend

MediaSFU Kotlin :: sdk.recommend (advisor).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appTypeNoApplication type.
requestedFeaturesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.8/5.0
Behavior1/5

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 nothing: not whether this is a read-only advisory call, what inputs drive the recommendation, or what the response contains. "advisor" is the only hint and it is not elaborated.

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

Conciseness3/5

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

It is a single short, front-loaded line with no wasted words, but the brevity comes from under-specification rather than efficient communication.

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

Completeness1/5

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

For a tool that must derive an SDK recommendation from an application type and feature list, with no annotations, no output schema, and only partial parameter documentation, the description is far too thin for an agent to invoke it correctly or interpret the result.

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

Parameters2/5

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

Schema coverage is 50%, with appType and requestedFeatures documented only by terse one-liners ("Application type.", "Required feature."). The description adds no meaning about accepted values, format, or how the two parameters jointly shape the recommendation.

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

Purpose2/5

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

The description is essentially a restatement of the tool name plus the word "advisor". While "recommend" suggests suggesting an SDK, it never states what is being recommended, for what purpose, or on what basis, so it does not distinguish this from siblings like ui.mode.recommend or integration.plan.

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 guidance on when to use this tool versus the many sibling recommend/plan tools (e.g., sdk.recommend exists per platform, plus ui.mode.recommend, integration.plan). No prerequisites, no exclusions, no trigger conditions.

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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