Skip to main content
Glama

checklist_run

Assess your AI agent or deployment against security checklists from NIST, CISA, OWASP, CUSTODY, and LASM. Get threats, controls, severity, and verification steps for each item.

Instructions

Run a named checklist against a description of your AI agent or deployment.

Returns all items in the checklist with their threat, control, severity, and verification steps. Use this to assess whether your deployment meets security controls from NIST, CISA, OWASP, CUSTODY, and LASM.

Args: name: Checklist name, e.g. 'agent-containment', 'harness-engineering', 'system-hardening', 'red-team', or 'supply-chain'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It mentions output items but also says 'against a description of your AI agent or deployment', implying an input that is not in the schema. This creates ambiguity about how the description is provided and whether the operation has side effects.

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 well-structured with a clear action sentence, output summary, usage context, and an Args section. Every sentence adds value and there is no unnecessary prose.

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 covers purpose, usage, and parameter examples, but the disconnect between the 'description of your AI agent or deployment' and the schema lacking such a parameter is a notable gap. It also omits any error or permission details that might be relevant.

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

Parameters4/5

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

The schema has a single 'name' parameter with no description, but the Args section adds examples of valid values and explains it as a 'Checklist name', which helps the agent understand what to provide.

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 states the verb 'Run' and the resource 'a named checklist', and explains the output structure ('Returns all items...'), making it distinct from siblings like checklist_list and checklist_get.

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?

It provides clear context: 'Use this to assess whether your deployment meets security controls from NIST, CISA, OWASP, CUSTODY, and LASM.' However, it does not explicitly mention when not to use it or name alternative tools.

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/nirhalfon/cinch-ai-security'

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