Skip to main content
Glama
CSOAI-ORG

ai-economy-infrastructure

by CSOAI-ORG

ai_incident_command

Coordinate cross-ecosystem incident response for cyber, AI safety, compliance, and quantum threats, ensuring unified action across CSGA, CSOAI, QuantraNet, and PROOFOF.

Instructions

Cross-ecosystem incident response coordination. Coordinates response across CSGA, CSOAI, QuantraNet, and PROOFOF. Handles cyber, AI safety, compliance, and quantum threats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
severityYesSeverity level
descriptionYesDetailed incident description
incident_typeYesType of incident
affected_systemsYesSystems affected by incident
additional_contextNoAdditional context
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'coordinates response' without explaining what that entails (e.g., side effects, permissions, external notifications, whether actions are reversible). This is a significant gap for a coordination tool that likely triggers cross-system actions.

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 a single, well-constructed sentence that front-loads the core purpose. It contains no fluff and efficiently conveys the tool's scope in under 25 words.

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?

The tool has moderate complexity (5 parameters, nested object) and no output schema. The description is too terse to cover what happens after invocation, what the response looks like, or any prerequisite conditions. This is insufficient for a potentially high-impact incident response tool.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds no new parameter-level meaning beyond what the schema provides; it only mentions threat types that align with the incident_type enum, which is already documented.

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 a specific verb and resource: 'Cross-ecosystem incident response coordination' and 'Coordinates response across CSGA, CSOAI, QuantraNet, and PROOFOF.' It also identifies distinct threat domains (cyber, AI safety, compliance, quantum threats), making it easily distinguishable from siblings that focus on economics, compliance, and learning.

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 context for use is clear—incident response across named ecosystems and threat types—so an agent can infer when to invoke it. However, it lacks explicit exclusions or alternative tool references, which would be required for a 5.

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/ai-economy-infrastructure'

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