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Search YouTube

youtube_search_list
Read-only

Search YouTube videos, channels, and playlists by free-text keyword (not hashtag — use youtube.search.hashtag.list for that). Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for `query`. Prefer `query`.
sortNoAlias for `sortBy`. Prefer `sortBy`.
trimNoIgnored if this tool does not support it.
typeNoOptional content type filter for search results.
limitNoIgnored if this tool does not support it.
queryNoSearch query text for YouTube content.
cursorNoOpaque pagination cursor returned by a previous response.
offsetNoIgnored if this tool does not support it.
regionNoOptional ISO 3166-1 country code for localized search results.
sortByNoOptional sort order for search results.
contextYesDescribe the user's underlying goal in one sentence — not the tool you are calling.
durationNoOptional duration filter for video results. Applies to videos, not shorts.
keywordsNoAlias for `query`. Prefer `query`.
pageSizeNoIgnored if this tool does not support it.
llm_modelYesThe 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.
maxResultsNoIgnored if this tool does not support it.
uploadDateNoOptional upload date filter for video results.
max_resultsNoIgnored if this tool does not support it.
includeExtrasNoWhen true, returns richer per-video metadata when available. May increase response time.
conversation_idNoEcho 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.

  1. Changed10 schema fields changed
    • addedInput schema / properties / keywords
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Alias for `query`. Prefer `query`."
      +}
    • 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 / 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 / q
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Alias for `query`. Prefer `query`."
      +}
    • addedInput schema / properties / sort
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Alias for `sortBy`. Prefer `sortBy`."
      +}
    • addedInput schema / properties / trim
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • changedInput schema / required
      Previous value: -[
      -  "query",
      -  "context",
      -  "llm_model"
      -]New value: +[
      +  "context",
      +  "llm_model"
      +]
  2. Changed5 schema fields changed
    • 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: -[
      -  "query"
      -]New value: +[
      +  "query",
      +  "context",
      +  "llm_model"
      +]
  3. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  4. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  5. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With readOnlyHint=true and openWorldHint=true, the safety and open-world nature are already covered by annotations. The description adds the free-text keyword constraint (excluding hashtags), the list return type, and cursor-based pagination, which are useful behavioral details not present in the annotations.

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 short sentences with no filler, and the scope and exclusion are front-loaded before the return/pagination note. Every clause earns its place.

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?

Given the rich schema and read-only/open-world annotations, the description covers the key usage facts: what is searched, what is excluded, and how to paginate. It is minimal but sufficient; a slightly richer return-item description would be the only possible improvement.

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 coverage is 100%, so the schema itself documents all 20 parameters, including aliases, filters, and enum values. The description adds the free-text/hashtag distinction and pagination note, which is helpful but not required for understanding individual parameters.

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?

The description names a specific action ('Search'), a specific resource ('YouTube videos, channels, and playlists'), and a query mode ('free-text keyword'), and it explicitly distinguishes itself from the hashtag search sibling. It could note shorts separately, but the type enum covers them and the core scope is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly tells the agent not to use this tool for hashtags and points to the hashtag search alternative. However, the referenced alternative is written as 'youtube.search.hashtag.list' while the actual sibling is 'youtube_search_hashtag_list', so the pointer is slightly inaccurate.

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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