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Get Assets

get_assets
Read-onlyIdempotent

Fetch AESO market asset records by filtering on asset ID, pool participant, operating status, or asset type, and use the limit parameter to control how many results are returned.

Instructions

Returns AESO market asset registry records with optional filters for asset ID, pool participant, operating status, and asset type. Results may be truncated by the limit parameter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYesFilterable asset list request.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetsYes
metadataYesProvenance and semantic metadata attached to dataset responses.
warningsNo
truncatedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.3.0
    • changedOutput schema / properties / metadata / properties / provider / enum
      Previous value: -[
      -  "gridstatus",
      -  "aeso_apim",
      -  "aeso_public_report",
      -  "derived"
      -]New value: +[
      +  "gridstatus",
      +  "aeso_apim",
      +  "aeso_public_report",
      +  "aeso_csd_archive",
      +  "derived"
      +]
  2. Changed13 schema fields changedv0.2.0
    • addedOutput schema / properties / metadata / properties / available_series
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / metadata / properties / cache_age
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Age of the cached provider result in seconds when served."
      +}
    • addedOutput schema / properties / metadata / properties / cache_hit
      Added value: +{
      +  "default": false,
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / metadata / properties / completeness
      Added value: +{
      +  "default": "unknown",
      +  "description": "Completeness of the requested observations or series.",
      +  "enum": [
      +    "complete",
      +    "partial",
      +    "degraded",
      +    "empty",
      +    "unknown"
      +  ],
      +  "type": "string"
      +}
    • addedOutput schema / properties / metadata / properties / expected_observation_count
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / metadata / properties / expected_observations
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / metadata / properties / finality
      Added value: +{
      +  "default": "unknown",
      +  "description": "Whether published observations are final or still preliminary.",
      +  "enum": [
      +    "final",
      +    "preliminary",
      +    "unknown"
      +  ],
      +  "type": "string"
      +}
    • addedOutput schema / properties / metadata / properties / missing_observation_count
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / metadata / properties / missing_observations
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / metadata / properties / missing_series
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / metadata / properties / observation_type
      Added value: +{
      +  "default": "actual",
      +  "description": "What kind of observation a response contains.\n\n``DataStatus`` predates this distinction and remains available for\ncompatibility.  ``observation_type`` should be used when a client needs\nto distinguish an actual observation from a forecast or a derived value.",
      +  "enum": [
      +    "actual",
      +    "forecast",
      +    "derived",
      +    "unknown"
      +  ],
      +  "type": "string"
      +}
    • changedOutput schema / properties / metadata / properties / provider / enum
      Previous value: -[
      -  "gridstatus",
      -  "aeso_apim",
      -  "derived"
      -]New value: +[
      +  "gridstatus",
      +  "aeso_apim",
      +  "aeso_public_report",
      +  "derived"
      +]
    • addedOutput schema / properties / metadata / properties / served_at
      Added value: +{
      +  "anyOf": [
      +    {
      +      "format": "date-time",
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
  3. First observedv0.1.1

TDQS

A4/5.0
Behavior4/5

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

The truncation caveat ('Results may be truncated by the limit parameter') adds genuine behavioral context beyond the annotations' readOnly/openWorld/idempotent hints — it warns the agent that a query may return an incomplete result set, which affects downstream reasoning. No contradiction with annotations.

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, zero filler. The primary action and filter scope are front-loaded in the first sentence, and the truncation caveat earns its place in the second.

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?

For a read-only list tool with a rich annotation profile and an output schema, the description covers purpose, filter scope, and the key truncation behavior. Minor omissions like default limit and ordering are already visible in the schema.

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% and property names are self-explanatory, so the baseline is 3. The description adds marginal value by mapping natural-language filters (e.g., 'pool participant') to schema parameters and noting that limit can truncate results.

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?

States a specific verb ('Returns') and resource ('AESO market asset registry records'), and enumerates the filter dimensions. Among the ~60 sibling tools, none other targets the asset registry, so the tool is clearly distinguishable.

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 usage context is implied — use this to fetch asset registry records with optional filters — but no explicit when-to-use guidance, exclusions, or alternative tool routing is given. With many sibling tools, explicit routing would help, though the purpose is self-evident enough to infer appropriate usage.

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