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AgentRank

by io.github.superlowburn
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lookup

Check if a specific GitHub repository is in the AgentRank index. Use this whenever a user mentions a specific tool or you encounter a GitHub URL, to verify its quality before recommending it.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "github_url": "<github_url>"
    },
    "name": "lookup"
  }
}

Input Schema

NameRequiredDescriptionDefault
github_urlYesGitHub repository URL, e.g. "https://github.com/owner/repo"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the burden of explaining behavior. It conveys that this is a read-style verification lookup and connects it to quality checking, but it does not disclose the return format, failure behavior for missing repositories, or any operational caveats.

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 a single, front-loaded sentence that states the core operation first and then adds practical usage guidance. Every phrase earns its place with no repetition or filler.

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?

For a simple one-parameter lookup tool, the description is nearly complete: it states the purpose, the exact input, and the typical trigger context. It could mention what the tool returns or how 'quality' is conveyed, but the basic usage is fully understandable.

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

Parameters3/5

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

There is one parameter with 100% schema description coverage, so the schema already fully documents github_url. The description adds context by referencing the URL in the tool's purpose, but it does not add additional meaning beyond the schema.

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

Purpose4/5

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

The description gives a specific action ('Check if a specific GitHub repository is in the AgentRank index') and a clear resource (a GitHub URL). It implies distinction from broader search tools by emphasizing a single, specific repository, though it does not explicitly name siblings.

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 explicit when-to-use guidance: whenever a user mentions a specific tool or a GitHub URL is encountered, and before recommending a tool. It does not mention when not to use it or compare against alternatives like search or evaluate, but the context is clear.

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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