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score_mcp_server_trust

Score an MCP server A–F on trustworthiness and maintenance health, so you can choose between four servers that all claim to do the same thing. Supply what you know about the server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
starsNoGitHub stars
repoExistsNoIs the declared GitHub repo still reachable?
serverNameNoServer name (for the report)
hasToolDocsNoDoes the README document the exposed tools and required credentials?
npmDeprecatedNoIs the npm/PyPI package marked deprecated?
hasInstallConfigNoDoes it ship a working install config for Claude Desktop / Cursor / VS Code?
inOfficialRegistryNoIs it listed in the official MCP registry?
daysSinceLastCommitNoDays since the last commit

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says the tool scores trustworthiness and asks the caller to supply known server facts, but it does not describe side effects, how partial information is handled, whether follow-up questions are asked, or what the returned report contains. With no output schema, this is a notable transparency gap.

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 two short sentences with no filler. The core action ('Score an MCP server A–F'), the purpose, and the input expectation are front-loaded and each earns its place.

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?

The description gives enough context to know the tool is a comparative trustworthiness scorer and that inputs are optional known facts, which is useful given all 8 parameters are optional. However, there is no output schema and the description does not describe what the returned score or report will contain or how an agent should act on an incomplete set of inputs.

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?

The schema covers 100% of parameters with individual descriptions, so the baseline is 3 even without parameter detail in the description. The description adds the useful context that all fields are optional pieces of knowledge ('Supply what you know about the server'), but adds no per-parameter 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 states a specific verb and resource: 'Score an MCP server A–F on trustworthiness and maintenance health.' It also gives a clear use context ('choose between four servers that all claim to do the same thing'). It does not explicitly distinguish itself from siblings like audit_mcp_server_security, so it stops short of a 5.

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 phrase 'so you can choose between four servers that all claim to do the same thing' gives clear context for when to invoke this tool. It does not name alternative tools or list exclusions, but the intended selection scenario is reasonably explicit.

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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