Skip to main content
Glama
dqbuilds

singular-mcp-server

by dqbuilds

List registered data streams

singular_list_data_streams
Read-onlyIdempotent

List all data stream aliases registered on the server, returning their names and registration dates in either markdown or JSON format.

Instructions

List the aliases of data streams registered on this server (no tokens). Args: response_format. Returns { count, dataStreams: [{ alias, addedAt }] }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNoOutput format: 'markdown' (human-readable) or 'json' (machine-readable). Default 'markdown'.markdown
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint. Description adds that it returns only aliases (no tokens) and specifies response formats. No contradictions, but lacks details on ordering or limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence covering action, args, and return value with zero wasted words. Front-loaded with core purpose.

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?

Tool is simple with 1 optional param and full annotations. Description provides return structure, but omits potential edge cases like empty list or error conditions. Adequate for a read-only list operation.

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 covers 100% of parameters with enum and default. Description adds the return structure beyond schema (count and dataStreams array), compensating for missing output schema.

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?

Description uses specific verb 'List' and specifies resource 'data streams registered on this server', clearly distinguishing it from sibling tools like push_datastream or register_data_stream. Parenthetical 'no tokens' adds precision.

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?

Clearly implies usage for listing aliases without tokens. No explicit when-not-to-use or alternative guidance, but sibling context makes this obvious. Could be slightly improved by noting it's the only list tool for data streams.

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/dqbuilds/singular-mcp-server'

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