Skip to main content
Glama

x_api_stream_posts_sample10

Stream a 10% sample of posts from X API to monitor trends or analyze content without pulling the full dataset.

Instructions

Stream 10% sampled Posts. Use when: Stream 10% sampled Posts. 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: bearer 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: backfill_minutes (query, integer); partition (query, integer, required); start_time (query, string); end_time (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_stream_posts_sample10","arguments":{"scopeTenantId":"default","scopeUserId":"default"}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_timeNo
partitionYes
start_timeNo
scopeUserIdNo
credentialKeyNo
scopeTenantIdNo
scopeAccountIdNo
authorizationKeyNo
backfill_minutesNo
preferredAuthTypeNo
Behavior5/5

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

With no annotations provided, the description fully carries the behavioral transparency burden. It discloses read-only risk, required bearer token, environment-selection logic for scopeTenantId/scopeUserId/scopeAccountId, credentialKey behavior, expected response shape, common failure conditions, and safety warnings about sensitive data. This is comprehensive and goes well 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 well-structured with labeled sections covering usage, risk, permissions, environment behavior, parameters, response, failures, and example. It is somewhat long but appropriately so for a complex tool. The 'Use when' section redundantly repeats the first sentence, which is minor waste, but overall every other sentence adds value.

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 10-parameter schema, no annotations, and no output schema, the description is exceptionally complete. It covers prerequisites, environment-selection behavior, response shape, common failure conditions, recommended tools, safety warnings, and an example. This gives an agent sufficient context to decide when and how to invoke the tool correctly.

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?

The description explains parameter formats and constraints for backfill_minutes, partition, start_time, and end_time, and clarifies the roles of scopeTenantId, scopeUserId, scopeAccountId, and credentialKey in auth resolution. However, it does not explicitly mention authorizationKey or preferredAuthType, leaving those two parameters unexplained despite a schema coverage of 0%. Still, it compensates well for most parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Stream 10% sampled Posts.' This is a specific verb (stream) plus resource (Posts) with a sampling rate (10%) that distinguishes it from sibling stream tools like firehose or compliance. The purpose is immediately clear and matches the tool name without being a tautology.

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' and 'Do not use when' sections, naming alternatives like x_schema_discovery and x_query_suggestion for exploration. It also lists recommended prerequisite and follow-up tools. However, it does not explicitly compare against other Post stream tools (e.g., firehose vs sample10) beyond the name itself, which slightly limits differentiation.

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