lowdown-proxy
Server Details
Look up MCP Registry declarations, npm package status, and daily observations of MCP servers.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- PetShopBros/lowdown-proxy
- GitHub Stars
- 1
- Server Listing
- lowdown-proxy
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusing it with another. Its purpose—looking up recorded facts about an MCP server—is clearly stated and distinct.
The single tool follows a clear verb_noun convention (get_lowdown). There is no inconsistency because there is only one name.
The server is intentionally narrow, and one lookup tool may suffice for its purpose. However, a single-tool surface is thin, and the rubric treats 1–2 tools as borderline.
The tool returns a broad set of facts (status, registry, packages, scanner, agent reports) and supports a menu for focused retrieval such as install-check. Minor gaps exist, such as no explicit search/list operation, but the core lookup use case is covered.
Available Tools
1 toolget_lowdownLook up recorded facts about an MCP serverARead-onlyIdempotentInspect
Look up recorded facts about an MCP server before installing or connecting to it. Accepts an MCP Registry name ('mcp:io.github.user/server'), a short name, or a package ('npm:@scope/name', 'pypi:name'). Returns dated facts, not scores: status (latest daily initialize/tools/list check: answered, required authentication, or no response), registry (what the official MCP Registry declares, and changes in the last 30 days), packages (declared npm/PyPI packages: deprecated, yanked, archived, or 404), scanner (when tool definitions changed and content markers such as a new URL or invisible characters), and agent reports. The optional menu returns only one part, e.g. 'install-check' (the facts used before installing). Absence of data says nothing about a server's status. Each answer ends with a source block (dataset, CC BY 4.0 license, retrieval time).
| Name | Required | Description | Default |
|---|---|---|---|
| menu | No | Optional. 'install-check' (before installing: status, packages, declared-vs-observed, content-flags), 'change-watch' (what changed recently), or one part: status, packages, tools, declared-vs-observed, content-flags, tool-list, registry, history, agent-reports. Omit or 'full' for everything. | |
| target | Yes | MCP Registry name with the mcp: prefix (e.g. 'mcp:io.github.user/server'), a short name, or a package with the npm: or pypi: prefix |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, but the description adds substantial context: returned facts are dated rather than scored, status values are enumerated, registry/package/scanner checks are summarized, and each response ends with a source block including license and retrieval time.
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 dense but front-loads the core purpose and accepted inputs before detailing return categories. Every sentence carries useful information, though the long unpacking of return fields makes it slightly heavier than necessary for a concise lookup.
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?
With no output schema, the description adequately explains what is returned: dated status, registry, package, scanner, and agent-report facts, plus the source block. It also covers menu behavior and the absence-of-data caveat, leaving no major gaps for correct invocation.
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 coverage is 100%, so the schema documents both parameters. The description still adds value by explaining the purpose of key menu choices, e.g. 'install-check' as the facts used before installing and 'change-watch' for recent changes, beyond the enum listing.
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 states a specific verb and resource: 'Look up recorded facts about an MCP server.' It further clarifies the lookup targets (registry name, short name, package) and distinguishes the output from scores, so an agent can tell exactly what the tool does.
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?
It explicitly frames the tool's use case ('before installing or connecting to it'), explains accepted target formats, and describes when to choose each menu option such as 'install-check' or 'change-watch.' The caveat that 'absence of data says nothing' is a useful usage constraint.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_lowdown
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