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x_api_delete_media_subtitles

Delete subtitles from a media item via the X API. Removes existing subtitle tracks from the specified media.

Instructions

Delete Media subtitles. Use when: Delete Media subtitles. Do not use when: a more specific auth/configuration tool is required before the API call or you are only exploring; prefer x_schema_discovery or x_query_suggestion first. Risk: mutating, high-risk. Required permissions and prerequisites: OAuth 2 user token with scopes media.write; OAuth 1a user token Environment-selection behavior: scopeTenantId plus exactly one of scopeUserId or scopeAccountId choose the Vault/Postgres tenant principal used for auth resolution. credentialKey selects a non-default stored credential profile when present. Parameter formats and constraints: no endpoint-specific parameters; body is used for the documented request payload. Expected response shape: { ok, status, data: { method, path, url, status, contentType, authType, data } } Common failure conditions: missing scoped credentials in Vault, missing required API parameters, X API auth failures, rate limits, or unsupported multipart/body shape. Recommended prerequisite and follow-up tools: x_connection_info, x_schema_discovery, x_auth_upsert_principal_credentials, x_api_request. Safety warnings: This mutates X state. Validate scope, payload, and authorizationKey before use. Example: {"name":"x_api_delete_media_subtitles","arguments":{"scopeTenantId":"default","scopeUserId":"default","body":{}}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo
scopeUserIdNo
credentialKeyNo
scopeTenantIdNo
scopeAccountIdNo
authorizationKeyNo
preferredAuthTypeNo
Behavior5/5

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

With no annotations, the description fully discloses behavior: it labels the tool as 'mutating, high-risk', states required OAuth scopes, describes environment-selection behavior, and warns that it mutates X state. This satisfies the transparency burden.

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 long but well-structured with labeled sections, each adding unique value. It is slightly verbose but not wasteful; the structure aids scanning and comprehension.

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

Completeness5/5

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

Given the tool's complexity and the absence of an output schema, the description comprehensively covers permissions, environment selection, parameter formats, expected response shape, common failures, and safety warnings. It leaves little ambiguity.

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

Parameters4/5

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

Despite 0% schema coverage, the description explains the roles of scopeTenantId, scopeUserId, scopeAccountId, and credentialKey, and clarifies that body holds the request payload. It does not explain authorizationKey or preferredAuthType, but the main parameters are addressed.

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 clearly states 'Delete Media subtitles.' with a specific verb and resource, distinguishing it from sibling tools like x_api_create_media_subtitles. It immediately identifies the action and target.

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

Usage Guidelines5/5

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

Provides explicit 'Use when' and 'Do not use when' conditions, including alternatives like x_schema_discovery and x_query_suggestion for exploration. This gives clear guidance on when to invoke this tool versus others.

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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