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x_api_get_chat_conversation

Fetch a chat conversation by ID from X API using OAuth user authentication and scoped credentials.

Instructions

Get Chat Conversation. Use when: Get Chat 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: read-only. Required permissions and prerequisites: OAuth 2 user token with scopes dm.read, 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: id (path, string, required). 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_get_scope_credentials, x_api_request. Safety warnings: This is read-only, but responses can still include sensitive account data depending on granted scopes. Example: {"name":"x_api_get_chat_conversation","arguments":{"scopeTenantId":"default","scopeUserId":"default","id":""}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
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 declares 'Risk: read-only,' lists required OAuth scopes and token types, explains environment-selection behavior for tenant principal resolution, gives an expected response shape, enumerates common failure conditions, and includes a safety warning about sensitive account data. This goes well beyond basic hints.

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 structured with clear labeled sections and is reasonably concise given the complexity. The main redundancy is 'Use when: Get Chat Conversation,' which duplicates the opening sentence. Otherwise, every section adds useful context without excessive fluff.

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?

For a read-only GET tool with 7 parameters and no output schema, the description covers prerequisites, environment selection, expected response shape, failure conditions, and safety. It doesn't define what a chat conversation is in this API context, but overall it's quite complete for an agent to invoke the tool successfully.

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%, but the description adds meaningful semantics for id, scopeTenantId, scopeUserId, scopeAccountId, and credentialKey. It explains the auth resolution rule ('scopeTenantId plus exactly one of scopeUserId or scopeAccountId') and the role of credentialKey. However, authorizationKey and preferredAuthType are not explained, leaving some gaps.

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 opens with 'Get Chat Conversation,' which is a clear verb+resource but essentially restates the tool name. It doesn't explicitly distinguish from the sibling 'x_api_get_chat_conversations' (plural) or describe what a chat conversation is, though the singular form implies a single conversation retrieval.

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 'Do not use when' section provides exclusions (auth/configuration tools, exploring) and recommends x_schema_discovery or x_query_suggestion first. It also lists recommended prerequisite/follow-up tools, but the 'Use when' section is tautological ('Get Chat Conversation') and doesn't clarify when to use this over the plural variant or x_api_request.

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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