list_opportunities
Retrieve commercial opportunities from eyeot ERP to analyze your sales pipeline and manage potential deals.
Instructions
Lister les opportunités commerciales
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve commercial opportunities from eyeot ERP to analyze your sales pipeline and manage potential deals.
Lister les opportunités commerciales
| 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 does not disclose any behavioral traits such as read-only nature, pagination, or filtering capabilities. The description carries the full burden but provides none of this information.
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, front-loaded, and contains no wasted words. It is efficient but could be slightly more informative without becoming verbose.
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 the tool has no parameters and no output schema, the description is minimally adequate. However, it omits important details like returned fields or default behavior, which would be helpful for an agent.
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 has zero parameters, so the description does not need to explain them. However, it does not add any context beyond the tool name; a baseline of 3 is appropriate.
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 explicitly states the action (list) and resource (business opportunities), making the purpose clear. However, it does not differentiate from sibling list tools like list_clients or list_orders.
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 on when to use this tool versus alternatives such as search or other list tools. There is no context for when it is appropriate or inappropriate to invoke.
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/Termi24/ERP-by-Eyeot-Software'
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