Skip to main content
Glama

get_integrations_youtube_languages

Retrieve available YouTube language options for content localization and audience targeting when managing social media content across multiple platforms.

Instructions

List YouTube languages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profile_nameYesProfile name
hlNoDisplay language (default: en)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'List YouTube languages' implies a read-only operation, but it doesn't specify whether this requires authentication, has rate limits, returns paginated results, or what format the output takes. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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?

The description is a single, efficient phrase that gets straight to the point with zero wasted words. It's appropriately sized for a simple listing tool and front-loads the core purpose immediately.

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

Completeness2/5

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

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is insufficiently complete. It doesn't explain what 'YouTube languages' means in this context, what the return values look like, or any behavioral constraints. The agent would need to guess about output format and operational details.

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 100%, so the schema fully documents both parameters (profile_name and hl). The description adds no parameter-specific information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 'List YouTube languages' clearly states the verb ('List') and resource ('YouTube languages'), making the purpose immediately understandable. However, it doesn't distinguish this tool from sibling tools like 'get_integrations_youtube_categories' or 'get_integrations_youtube_regions' that also list YouTube metadata, so it misses full sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, context for selecting this over similar sibling tools, or any exclusion criteria. The agent must infer usage from the tool name alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Codivion/codivupload-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server