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x_api_create_lists

Create a new list on X (Twitter) via authenticated API. Requires OAuth user tokens with list.write scope.

Instructions

Create List. Use when: Create List. 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 list.read, list.write, tweet.read, users.read; 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_create_lists","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 carries full burden and excels: it explicitly states mutating risk, required OAuth scopes, environment-selection behavior, common failure conditions, and safety warnings. This goes well beyond baseline and fully discloses behavioral traits.

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 well-structured with labeled sections and front-loads the core action. The opening 'Use when: Create List' is redundant and wastes a sentence, but the rest is concise and information-dense.

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

Completeness3/5

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

The description is rich on auth, scoping, failure modes, and response envelope. However, it lacks any specification of the actual list payload (e.g., required fields like name), which is essential for an agent to create a list correctly. It defers to 'documented request payload' without providing that documentation, leaving a significant gap.

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?

Schema coverage is 0%, so the description must compensate. It explains the critical tenant/principal selection parameters (scopeTenantId, scopeUserId, scopeAccountId, credentialKey) and clarifies that 'body' holds the request payload. However, it does not explain authorizationKey or preferredAuthType, and the body contents are left unspecified.

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

Purpose3/5

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

The description states 'Create List', which is a clear verb+resource but essentially echoes the tool name. It does not distinguish this tool from sibling list tools beyond the obvious create vs. read/update/delete. No detail on what a 'list' is in this context.

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

Usage Guidelines3/5

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

The 'Use when' is tautological ('Create List'). However, it provides a useful 'Do not use when' clause and recommends prerequisite tools (x_schema_discovery, x_query_suggestion) for exploration, plus lists related tools. It does not explicitly compare to alternative list mutation tools like x_api_update_lists.

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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