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Owlvin MCP Server

by whoisgloom

owlvin_aeo_optimize

Generate optimized metadata files to boost MCP server agent discoverability by scanning servers and creating ready-to-use JSON files for improved AEO scores.

Instructions

Generate optimized metadata files to boost an MCP server's agent discoverability.

Scans the server, then generates ready-to-use server-card.json, agents.json, and improved tool descriptions. Copy these files to your server to improve your AEO score.

Args: url: The MCP server's base URL to optimize (e.g. "https://api.example.com").

Returns generated metadata files and projected score improvement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It discloses key behaviors: scanning the server, generating files, and requiring copying to the server. However, it doesn't mention potential side effects (e.g., whether it modifies the live server), authentication needs, rate limits, or what happens if the URL is invalid. The description adds useful context but lacks comprehensive behavioral disclosure for a tool that interacts with external servers.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with a clear purpose statement, action steps, parameter explanation, and return value description. Every sentence adds value: the first states the goal, the second explains the process, the third specifies what to do with outputs, and the final sections document parameters and returns. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (server scanning and file generation), no annotations, but with an output schema present, the description is reasonably complete. It explains what the tool does, the parameter, and the return value ('generated metadata files and projected score improvement'). However, it could better address behavioral aspects like error conditions or security considerations for a tool that accesses external URLs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaningful context for the single parameter 'url' by providing an example ('e.g., "https://api.example.com"') and explaining it's 'The MCP server's base URL to optimize'. With 0% schema description coverage and only 1 parameter, this compensates well. However, it doesn't specify URL format requirements or validation rules beyond the example.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('generate optimized metadata files', 'scans the server', 'copy these files') and resources ('server-card.json, agents.json, and improved tool descriptions'). It distinguishes from siblings by focusing on optimization rather than scanning (owlvin_aeo_scan) or other unrelated functions like buying credits or checking pricing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool ('to boost an MCP server's agent discoverability', 'to improve your AEO score'), but doesn't explicitly state when NOT to use it or mention alternatives. It implies usage for optimization after scanning, but doesn't compare with the sibling scan tool or other optimization approaches.

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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