list_edges
List all edges in a Pulse workflow, returning each edge's ID, source, and target node.
Instructions
List edges. Returns: [{id, source, target}]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all edges in a Pulse workflow, returning each edge's ID, source, and target node.
List edges. Returns: [{id, source, target}]
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description only states it lists edges and returns a structure. It does not disclose whether it is read-only, potential side effects, or other behavioral traits.
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?
Two short sentences front-load the purpose and return format. Every sentence earns its place, but the overall informativeness is limited.
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?
Given no parameters and no output schema, the description states the return format. However, it lacks context about what edges are (connections between nodes) and any filtering or pagination behavior. Adequate but could be more complete.
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?
No parameters exist, and schema coverage is trivially 100%. The description does not need to add parameter info; baseline 4 for zero parameters.
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 clearly states the verb 'list' and the resource 'edges', and distinguishes from sibling list_* tools by resource name. However, it does not explain what edges represent in this context.
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 on when to use this tool versus alternatives like list_nodes or connect_nodes. The description provides no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Pulse-Intelligence/pulse-workflow-mcp'
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