Skip to main content
Glama
CSOAI-ORG

MEOK MCP Hardening MCP

check_supply_chain

Audit MCP server supply chains for pinning and provenance gaps. Returns only LLM05 supply-chain findings to identify insecure dependencies.

Instructions

Return only supply-chain findings (LLM05) — pin + provenance audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
server_jsonYes
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It states it 'return only supply-chain findings', indicating a filtering behavior, but does not describe what 'pin + provenance audit' entails or any side effects. It adds some context but remains vague.

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

Conciseness4/5

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

The description is a single, front-loaded sentence that efficiently states the purpose. It is appropriately sized with no wasted words, though it could be slightly more detailed.

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

Completeness2/5

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

Given the lack of output schema and the nested object parameter, the description is incomplete. It fails to explain the parameter or the meaning of 'pin + provenance audit', leaving gaps for an AI agent.

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

Parameters1/5

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

The input schema has one parameter 'server_json' with no description (0% coverage). The tool description does not explain the parameter at all, providing no added meaning beyond the schema name.

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 clearly states the verb 'return' and the resource 'supply-chain findings (LLM05)', and mentions 'pin + provenance audit' for specificity. It differentiates from sibling tools like 'list_owasp_findings' by focusing on a specific category.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus siblings or when not to use it. The description does not mention alternatives or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/CSOAI-ORG/meok-mcp-hardening-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server