Skip to main content
Glama
haverAI

haver-governance-mcp

Official
by haverAI

Register agent identity

register_agent

Register an AI agent with a unique identifier, owner, role, and permission scopes for healthcare governance.

Instructions

Register an AI agent with a stable identity, owner, role, and permission scopes. Scopes use the form 'action:resource' (e.g. 'read:labs'), and '*' wildcards are allowed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesHuman-readable agent name
roleYesThe agent's role, e.g. 'care-coordination-assistant'
ownerYesPerson or team accountable for this agent
scopesYesPermission scopes, e.g. ['read:labs','write:notes']
agent_idYesUnique, stable identifier for the agent
Behavior2/5

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

No annotations provided, so description carries full burden. It states the action but does not disclose side effects (e.g., whether registering an existing agent overwrites or errors), authorization needs, or idempotency.

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?

Two sentences. First front-loads the core purpose. Second adds a critical parameter formatting detail. No wasted words.

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?

For a registration tool with 5 required params and no output schema, the description covers the basics but lacks information on duplication behavior, error handling, or return confirmation. Sibling tools don't clarify these gaps either.

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?

Schema coverage is 100%, but the description adds the format for scopes ('action:resource' and wildcard allowance), which extends beyond the schema's example list. This is valuable additional context.

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 specifies a clear verb (register) and resource (AI agent with identity, owner, role, scopes). It distinguishes from siblings like recall_agent (which likely deregisters) and check_permission.

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?

No explicit guidance on when to use or not use this tool versus alternatives. The context implies registration vs. recall, but no prerequisites or exclusions are 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/haverAI/haver-governance-mcp'

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