Get Workflow
lyzr_get_workflowRetrieve a workflow by its ID to access its full configuration and details.
Instructions
Fetch a workflow by id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| flow_id | Yes | The workflow id |
lyzr_get_workflowRetrieve a workflow by its ID to access its full configuration and details.
Fetch a workflow by id.
| Name | Required | Description | Default |
|---|---|---|---|
| flow_id | Yes | The workflow id |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no additional behavioral context, such as behavior when the id is not found or what the response contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of six words, front-loaded and free of any wasted text. Every word contributes to understanding the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter read operation with strong annotations, the description is sufficient. There is no output schema, so the absence of return-value details is acceptable, and the tool's purpose is clear without further elaboration.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% coverage with flow_id described as 'The workflow id'. The description adds no extra meaning beyond this, so the baseline score of 3 is appropriate when the schema already documents the parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Fetch a workflow by id' uses a specific verb (fetch), names the resource (workflow), and indicates the scope (by id). This clearly distinguishes it from sibling tools like lyzr_list_workflows, which would list multiple workflows.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as lyzr_list_workflows or lyzr_get_workflow for other purposes. The description only states the action, leaving the agent to infer appropriate usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/nandanNM/lyzr-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server