Social Fetch

Analyze YouTube video comments

youtube_video_comments_analysis_get

Read-only

Analyze YouTube video comments. Accepts a video URL.

Input Schema

TableJSON Schema

Name	Required	Description
`url`	No	Link to the YouTube video whose comments should be listed.
`link`	No	Alias for `url`. Prefer `url`.
`path`	No	Alias for `url`. Prefer `url`.
`trim`	No	Ignored if this tool does not support it.
`limit`	No	Ignored if this tool does not support it.
`order`	No	Comment sort order to analyze. Defaults to `top` for the strongest signal.
`offset`	No	Ignored if this tool does not support it.
`context`	Yes	Describe the user's underlying goal in one sentence — not the tool you are calling.
`tweetId`	No	Alias for `url`. Prefer `url`.
`pageSize`	No	Ignored if this tool does not support it.
`tweetUrl`	No	Alias for `url`. Prefer `url`.
`tweet_id`	No	Alias for `url`. Prefer `url`.
`llm_model`	Yes	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
`permalink`	No	Alias for `url`. Prefer `url`.
`tweet_url`	No	Alias for `url`. Prefer `url`.
`maxResults`	No	Ignored if this tool does not support it.
`max_results`	No	Ignored if this tool does not support it.
`conversation_id`	No	Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.

Schema Changelog

Changes observed during successful MCP inspections.

Changed19 schema fields changedSep 21, 2026

addedInput schema / properties / limit

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / link / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / link / type
```
Removed value: -"string"
```

addedInput schema / properties / maxResults

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / max_results

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / offset

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / pageSize

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / path

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Alias for `url`. Prefer `url`."
+}

addedInput schema / properties / permalink / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / permalink / type
```
Removed value: -"string"
```

addedInput schema / properties / trim

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / tweetId / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweetId / type
```
Removed value: -"string"
```

addedInput schema / properties / tweetUrl / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweetUrl / type
```
Removed value: -"string"
```

addedInput schema / properties / tweet_id / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweet_id / type
```
Removed value: -"string"
```

addedInput schema / properties / tweet_url / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweet_url / type
```
Removed value: -"string"
```

Changed7 schema fields changedSep 12, 2026

addedInput schema / properties / link

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / permalink

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweetId

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweetUrl

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweet_id

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

addedInput schema / properties / tweet_url

Added value: +{
+  "description": "Alias for `url`. Prefer `url`.",
+  "type": "string"
+}

changedInput schema / required

Previous value: -[
-  "url",
-  "context",
-  "llm_model"
-]New value: +[
+  "context",
+  "llm_model"
+]

Changed5 schema fields changedSep 5, 2026

removedInput schema / additionalProperties
```
Removed value: -false
```

addedInput schema / properties / context

Added value: +{
+  "description": "Describe the user's underlying goal in one sentence — not the tool you are calling.",
+  "type": "string"
+}

addedInput schema / properties / conversation_id

Added value: +{
+  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
+  "type": "string"
+}

addedInput schema / properties / llm_model

Added value: +{
+  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
+  "type": "string"
+}

changedInput schema / required

Previous value: -[
-  "url"
-]New value: +[
+  "url",
+  "context",
+  "llm_model"
+]

Changed1 schema field changedAug 27, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

AddedJul 29, 2026

TDQS

C2.9/5.0

Behavior2/5

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

The annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered without the description. The description adds no behavioral context beyond that, such as what the analysis produces, how results are structured, or what happens with invalid URLs. This is a thin description relying heavily on annotations.

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?

The description is two short sentences with the purpose front-loaded. It is economical and easy to parse, though the second sentence ('Accepts a video URL') is partially redundant with the input schema.

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?

For a tool with 18 parameters, no output schema, and a nontrivial alias set, this description is far too thin. It does not explain what the analysis returns, what the required context and llm_model parameters are for, or how the tool relates to youtube_video_comments_list. An agent would need to infer most operational details from the schema alone.

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 baseline is 3. The description mentions 'Accepts a video URL,' which modestly reinforces the url parameter, but it does nothing to clarify the many alias parameters (link, path, tweetId, permalink, etc.) or the required context and llm_model fields. No value beyond the schema is added.

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 names a specific verb ('Analyze') and resource ('YouTube video comments'), and the title reinforces this. It implicitly distinguishes itself from the sibling youtube_video_comments_list through the 'analyze' verb, but it never explicitly says how analysis differs from listing, so the differentiation is left to inference.

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?

No guidance is given on when to use this tool versus the similar youtube_video_comments_list sibling or other comment tools. The only hint is the verb 'analyze,' which implies a summary or insight use case, but no exclusions or alternative routing are stated.

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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Analyze YouTube video comments

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

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