link_get
Get full details for a network link in a GNS3 project.
Instructions
Get full details for a link.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| link_id | Yes | ||
| project_id | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get full details for a network link in a GNS3 project.
Get full details for a link.
| Name | Required | Description | Default |
|---|---|---|---|
| link_id | Yes | ||
| project_id | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description bears full responsibility for behavioral disclosure. It only states 'Get full details,' implying a read operation, but fails to mention any potential side effects, authorization requirements, or error conditions. The presence of an output schema is noted but not described.
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 concise sentence, which is efficient, but it sacrifices completeness. While front-loaded, it could include more detail 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?
For a simple get tool with two parameters and an output schema, the description is incomplete. It does not note that link_id is required, nor does it specify what 'full details' entails. The output schema likely covers return values, but the description should still provide minimal context about the parameters.
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?
Schema description coverage is 0%, meaning the description must compensate by explaining parameters. However, it does not mention link_id or project_id at all, leaving the agent to infer their meaning solely from the schema. This adds no value beyond the structured schema.
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 it retrieves full details for a link, distinguishing it from sibling tools like link_delete, link_update, and links_list which perform different operations. However, it does not explicitly mention the use of link_id, relying on the schema, but the purpose is clear.
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?
There is no guidance on when to use this tool versus alternatives like links_list or link_get (if multiple). No context about prerequisites or typical use cases is provided, making it less helpful for an AI agent to decide between tools.
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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