Skip to main content
Glama

get_elite_workflow

Receives a task type and returns a sequence of elite prompts and tools to execute, helping you tackle complex tasks like debugging or planning with a structured reasoning workflow.

Instructions

TRIGGER: Call this when you are unsure how to tackle a task. Returns the exact sequence of Elite Prompts and Tools you should execute for a specific scenario. Args: task_type: What you are trying to do (e.g., 'debugging', 'planning', 'refactoring', 'incident', 'optimizing')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. Describes it as returning a sequence with no side effects. Could mention if any permissions needed, but overall clear.

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?

Very concise: one trigger sentence, one function sentence, one parameter description. No wasted words, front-loaded.

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?

Given output schema exists, description doesn't need to detail return format. Still could mention that the returned sequence is actionable, but it's sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter, schema covers 0% but description provides clear meaning with examples (e.g., 'debugging', 'planning'), adding value beyond the 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?

Clearly states it returns the exact sequence of Elite Prompts and Tools for a scenario, with a specific trigger condition. Distinguishes from siblings by being the 'when unsure' tool.

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?

Explicitly says 'Call this when you are unsure how to tackle a task', giving clear context for use. Does not mention when not to use or alternatives, but context is clear enough.

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/Snehgabani/elite-reasoning-mcp'

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