Skip to main content
Glama
k2iser

fiware-orion-mcp

by k2iser

orion_create_entity

Create a new NGSI-v2 entity in the FIWARE Context Broker by specifying its ID, type, and attributes such as status or temperature.

Instructions

Create a new entity in the Context Broker.

Args: entity_id: Unique entity ID (e.g. 'Camera:CAM-001'). Convention: 'Type:Name'. entity_type: Entity type (e.g. 'Camera', 'TrafficSensor', 'ParkingSpot'). attributes: Dict of attribute definitions. Each attribute: {"attr_name": {"type": "Text|Number|Boolean|geo:json|DateTime", "value": }} Example: {"status": {"type": "Text", "value": "online"}, "temperature": {"type": "Number", "value": 22.5}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
entity_typeYes
attributesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations indicate the tool is not read-only, not destructive, and not idempotent. The description adds that it creates an entity, but does not disclose potential side effects, auth needs, or rate limits. With annotations present, this is adequate but not exceptional.

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 clear and well-structured as a docstring, with each argument explained. Slightly verbose but each sentence adds value. No wasted words.

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

Completeness4/5

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

The tool has an output schema, so return values are covered. The description explains all three required parameters and nested structures sufficiently. Sibling tools list provides context, but the description itself is complete for a creation tool.

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

Parameters5/5

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

Schema coverage is 0%, so the description carries full burden. It provides detailed semantics: entity_id convention ('Type:Name'), entity_type examples, and a complete structure for attributes with types and example values, far exceeding minimal schema info.

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 tool creates a new entity in a Context Broker, using a specific verb and resource. It differentiates from siblings like orion_delete_entity and orion_get_entity by focusing on creation.

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 provides usage hints through conventions (entity_id format, attribute examples) but does not explicitly state when to use this tool over alternatives or when not to use it.

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/k2iser/fiware-orion-mcp'

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