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k2iser

fiware-orion-mcp

by k2iser

quantumleap_get_history

Read-only

Retrieve historical time-series data for IoT entities from QuantumLeap. Filter by entity ID, attribute, date range, and apply aggregation methods.

Instructions

Get historical time-series data for an entity from QuantumLeap.

Args: entity_id: Entity ID (e.g. 'Camera:TIMONE-01'). entity_type: Entity type for disambiguation. attr: Specific attribute to retrieve (e.g. 'temperature'). All attrs if omitted. from_date: ISO8601 start date (e.g. '2026-03-01T00:00:00'). to_date: ISO8601 end date (e.g. '2026-03-07T23:59:59'). limit: Max data points (default 100). aggr_method: Aggregation: 'count', 'sum', 'avg', 'min', 'max'. aggr_period: Aggregation period: 'year', 'month', 'day', 'hour', 'minute', 'second'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
entity_typeNo
attrNo
from_dateNo
to_dateNo
limitNo
aggr_methodNo
aggr_periodNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Description is consistent with readOnlyHint annotation. It discloses that the tool retrieves historical data but does not add behavioral details beyond that (e.g., rate limits, data source specifics). No contradictions.

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?

Well-organized with a clear first sentence and parameter list. Some verbosity in parameter examples, but overall efficient. The structure is easy to parse.

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?

Covers input parameters thoroughly and output is handled by output schema. Lacks usage context (when/why to use this vs alternatives) but otherwise complete for a data retrieval 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?

Despite 0% schema description coverage, the description provides detailed parameter docs with examples (entity ID format, ISO8601 dates, default limit, aggregation options). This adds significant meaning beyond schema titles.

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?

Description clearly states 'Get historical time-series data for an entity from QuantumLeap' – a specific verb+resource. It distinguishes from sibling 'quantumleap_get_type_history' by specifying 'for an entity'.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives (e.g., quantumleap_get_type_history, Orion query tools). No explicit context or exclusions provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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