Skip to main content
Glama

x_api_get_chat_conversation_events

Retrieve chat conversation events from X API using a conversation ID. Provides read-only access to event data for analysis or monitoring.

Instructions

Get Chat Conversation Events. Use when: Get Chat Conversation Events. 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, unknown, required); max_results (query, integer); pagination_token (query, string). 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_events","arguments":{"scopeTenantId":"default","scopeUserId":"default","id":""}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
max_resultsNo
scopeUserIdNo
credentialKeyNo
scopeTenantIdNo
scopeAccountIdNo
authorizationKeyNo
pagination_tokenNo
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 and excels. It discloses the read-only risk, required OAuth scopes and token types, environment-selection behavior using scopeTenantId/scopeUserId/scopeAccountId, credentialKey behavior, expected response shape, common failure conditions, and safety warnings about sensitive data. This goes well beyond the schema and gives the agent a comprehensive behavioral model.

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 clear labeled sections. It contains redundant content ('Use when: Get Chat Conversation Events' repeats the title) and the example adds bulk, but every other section carries meaningful information. For a tool with 9 parameters and no annotations, the length is justified.

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?

The description covers prerequisites, environment selection, parameter constraints, response shape, and failure conditions, making it quite complete for a read-only API wrapper. However, it does not define what counts as an 'event' or explain the meaning of the response data fields beyond the generic envelope, leaving some room for additional context.

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 explains the path/query formats for id, max_results, and pagination_token, and provides critical context for environment-selection parameters (scopeTenantId, scopeUserId, scopeAccountId, credentialKey). However, it omits some parameters like authorizationKey and preferredAuthType, and does not fully explain the interaction between all parameters, so it is not perfect.

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 clearly states the tool retrieves chat conversation events with a specific verb and resource. However, it does not explicitly differentiate from sibling tools like x_api_get_chat_conversation, x_api_get_chat_conversations, or x_api_get_direct_messages_events, leaving some ambiguity for an agent choosing among similar tools.

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

Usage Guidelines2/5

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

The 'Use when' section merely restates the tool's purpose ('Get Chat Conversation Events') without providing actionable context. The 'Do not use when' section offers generic advice about exploring or requiring auth tools, but does not name alternatives specific to this operation, such as x_api_get_chat_conversation for conversation details or x_api_get_direct_messages_events for DM events. This leaves the agent without clear guidance on when to choose this tool over siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/LesterAJohn/X-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server