list_vevang_agents
List Vevang's live autonomous AI agents — what they do, prices, and endpoints.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List Vevang's live autonomous AI agents — what they do, prices, and endpoints.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the output content (agent details, prices, endpoints) but does not mention any behavioral traits like read-only nature, side effects, or rate limits.
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 one sentence with no waste, but it could be slightly more structured (e.g., listing the fields explicitly). Still efficient.
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 listing tool with no parameters and no output schema, the description covers the essential return values (what they do, prices, endpoints), making it adequate.
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 tool has zero parameters and schema coverage is 100%, so the baseline is 4. The description does not need to add parameter information.
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 uses a specific verb ('List') and resource ('Vevang's live autonomous AI agents') and details what it returns (what they do, prices, endpoints), clearly differentiating it from sibling tools like check_ai_visibility or extract_web_data.
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?
The description implies the tool is used to retrieve agent details, but it provides no explicit guidance on when to use this tool versus alternatives, nor any conditions for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.