Skip to main content
Glama
CSOAI-ORG

ai-economy-infrastructure

by CSOAI-ORG

ai_sector_compliance

Get sector-specific compliance packages by specifying sector, jurisdiction, and organization size. Receive tailored bundles from relevant standards and certifications.

Instructions

Sector-branded compliance packages pulling from relevant crosswalks, standards, and certifications. Provides tailored compliance bundles for specific sectors (finance, healthcare, defence, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectorYesSector for compliance
jurisdictionYesJurisdiction
organization_sizeYesSize of organization
current_complianceYesList of current compliance achievements
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 disclosing behavioral traits. It mentions pulling from crosswalks, standards, and certifications, indicating the data sources, but it does not disclose whether the tool is read-only, what the output structure looks like, or any limitations. This is insufficient for a tool with no annotation support.

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 sentences, front-loaded with the core purpose, and contains no filler. Every word adds value, efficiently communicating what the tool does and its sector focus.

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?

Given the tool has 4 required parameters, enums, and no output schema, the description is somewhat complete but lacks detail on what the returned bundle contains or how to interpret results. It also does not clarify how this tool complements or differs from similarly named siblings, leaving some gaps for the agent.

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 context about the 'sector' parameter by listing examples (finance, healthcare, defence), but it does not meaningfully explain organization_size, current_compliance, or jurisdiction beyond what the schema already states.

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 tool's purpose: to provide sector-branded compliance packages tailored to specific sectors. The verb 'provides' and resource 'compliance bundles' are specific. It distinguishes from general certification tools by emphasizing sector-specific tailoring, though it does not explicitly reference a sibling tool.

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

Usage Guidelines3/5

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

The description implies usage when sector-specific compliance bundles are needed, but it lacks explicit guidance on when to use this tool versus alternatives like ai_certification_bundle or ai_governance_assess. There are no exclusions or conditions stated.

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