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x_api_initialize_chat_group

Initialize a chat group on X with an authenticated API call. Resolves scoped credentials and returns the API response for group creation.

Instructions

Initialize Chat Group. Use when: Initialize Chat Group. 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; 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. 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_initialize_chat_group","arguments":{"scopeTenantId":"default","scopeUserId":"default"}}

Input Schema

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It clearly states the mutation risk, required OAuth scopes, environment-selection behavior, expected response shape, failure conditions, and safety warnings, providing comprehensive transparency beyond the schema.

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, making it scannable and front-loaded with the core purpose. Each section adds operational detail, though minor redundancy exists (e.g., 'Risk' and 'Safety warnings' overlap), keeping it from a perfect score.

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?

This is a mutating tool with no output schema, and the description fully covers expected response shape, failure conditions, permissions, environment selection, and an example. This is enough for an agent to select and invoke the tool correctly without additional context.

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?

The input schema has 0% description coverage, so the description must compensate. It adds meaningful context for scopeTenantId, scopeUserId, scopeAccountId, and credentialKey, but leaves authorizationKey and preferredAuthType undocumented, and the 'no endpoint-specific parameters' note is vague. This partial compensation is adequate but not complete.

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 'Initialize Chat Group' as a specific verb+resource, which is clear at a basic level. However, it does not differentiate from sibling tools like x_api_create_chat_conversation or explain what 'initialize' means in contrast to 'create', leaving some ambiguity about scope and intent.

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 explicit 'Do not use when' guidance with named alternatives (x_schema_discovery, x_query_suggestion) and lists recommended prerequisite/follow-up tools. The positive 'Use when' condition is tautological, but the exclusion and alternative guidance is useful for selection.

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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