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x_api_create_direct_messages_conversation

Starts a direct message conversation with an X user. Use when you need to send the first DM in a thread. Requires user authentication with dm.write scope.

Instructions

Create DM conversation. Use when: Create DM conversation. 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 dm.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_direct_messages_conversation","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 provided, the description carries the full burden of behavioral disclosure. It explicitly states the tool is mutating and high-risk, lists required OAuth scopes, explains environment-selection behavior, details common failure conditions, and includes safety warnings. This goes far beyond a basic description.

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 lengthy but extremely well-structured with labeled sections (Use when, Risk, Required permissions, etc.). The core purpose is front-loaded, and each section provides distinct, useful information. The only minor redundancy is 'Use when: Create DM conversation,' which restates the purpose.

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?

For a mutating tool with no output schema, the description covers expected response shape, failure conditions, prerequisites, an example, and related tools. This gives an agent everything needed to understand when and how to invoke the tool and what to expect.

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 description coverage is 0%, so the description must compensate. It effectively explains the scopeTenantId/scopeUserId/scopeAccountId relationship, the role of credentialKey, and that body holds the request payload. However, it omits explicit semantics for authorizationKey and preferredAuthType, though these are fairly self-explanatory.

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 states 'Create DM conversation,' which clearly identifies the action and resource. However, it does not distinguish this tool from sibling DM creation tools like x_api_create_direct_messages_by_participant_id or x_api_create_direct_messages_by_conversation_id; the tool's unique name is the main differentiator.

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?

The description provides 'Use when' and 'Do not use when' sections, explicitly steering exploration toward x_schema_discovery or x_query_suggestion. It also lists recommended prerequisite and follow-up tools. However, the 'Use when' line is tautological and it does not explicitly compare against specific sibling DM creation tools.

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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