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Scan for new MCP servers & dev packages

scan_extension_marketplace

Crawl GitHub and Hugging Face for newly published MCP servers, log them to a review queue with risk flags. Human review required before any installation.

Instructions

Crawl GitHub and Hugging Face for recently published MCP servers / development packages and log them to data/dev-review-queue.json as pending_human_review (with risk flags: missing license, low adoption, suspicious install patterns). Nothing is ever auto-installed; human decisions survive re-scans.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sourcesNo
Behavior4/5

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

No annotations provided, so the description carries the full burden. It discloses the output location, pending human review status, risk flags, and that nothing is auto-installed. Could add details on rate limits or error handling.

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?

Two sentences, front-loaded with core action and outcome. No redundant words; every sentence adds value.

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

Completeness3/5

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

Covers purpose, behavior, and outcome but omits parameter details and potential errors. With no output schema, the description could better explain return format. Adequate for a simple tool but with gaps.

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

Parameters2/5

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

Schema description coverage is 0%. The description mentions the two sources (GitHub, Hugging Face) but does not explain the 'limit' parameter or provide any additional meaning beyond the schema. The parameter semantics are weak.

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 specifies the action (crawl and log), the target sources (GitHub, Hugging Face), the output (MCP servers/dev packages to a specific file with risk flags), and distinguishes from sibling tools like audit_compliance.

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?

States that nothing is auto-installed and human decisions survive re-scans, implying a review workflow. Lacks explicit when-not-to-use or alternatives, but the context is clear enough for a single-purpose scanning tool.

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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