Skip to main content
Glama

x_api_add_conversation_keys

Add conversation keys to an X conversation to manage participant access and enable secure interactions. Requires OAuth user token with dm.write scope.

Instructions

Add Conversation Keys. Use when: Add Conversation Keys. 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: id (path, unknown, required); 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_add_conversation_keys","arguments":{"scopeTenantId":"default","scopeUserId":"default","id":"","body":{}}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
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 fully carries the transparency burden. It discloses mutating/high-risk status, required OAuth scopes, environment-selection behavior, expected response shape, common failure conditions, and safety warnings, providing exceptional visibility into the tool's behavior and consequences.

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-organized with labeled sections (Risk, Required permissions, Environment-selection, Parameters, Expected response, Common failures, Recommended tools, Safety, Example). The redundant 'Use when: Add Conversation Keys' line adds noise, but overall the structure is clear and each section earns its place.

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?

Given the tool's complexity (8 params, no annotations, no output schema), the description is remarkably complete. It includes permissions, environment selection, parameter constraints, response shape, failure modes, safety warnings, and an example. While it doesn't define 'conversation keys' or the exact body contract, it provides a robust operational picture.

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?

Schema description coverage is 0%, so the description must explain parameters. It covers id (path/required), body (payload), and the scopeTenantId/scopeUserId/scopeAccountId/credentialKey selection behavior, but fails to explain authorizationKey and preferredAuthType. This partial coverage leaves gaps for a tool with 8 parameters.

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 'Add Conversation Keys' which is a clear verb+resource, but it essentially restates the tool name without explaining what conversation keys are or how they differ from sibling tools like x_api_add_user_public_key. It lacks a specific behavioral definition or API endpoint context, making the purpose somewhat vague.

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 'Use when' (though tautological) and 'Do not use when' guidance, suggesting x_schema_discovery or x_query_suggestion for exploration. It also lists recommended prerequisite and follow-up tools, offering clear context for when to invoke this tool versus alternatives.

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