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Gridstatus Latest

gridstatus_latest
Read-onlyIdempotent

Latest values for a grid dataset — convenience that pulls the most recent rows from a recent window. Pass a dataset_id (e.g. "ercot_load", "caiso_fuel_mix"). Example: gridstatus_latest({ dataset_id: "ercot_load", _apiKey: "your-key" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_apiKeyYesGridStatus API key
dataset_idYesDataset id, e.g. "ercot_load", "caiso_lmp_real_time_5_min", "pjm_fuel_mix". Discover ids via gridstatus_datasets.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds that it returns the 'most recent rows from a recent window', which is useful behavioral context, but it does not specify the window length or if results are approximate. Given annotation coverage, this is adequate but not thorough.

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 a single, front-loaded sentence that states the purpose, clarifies behavior, and includes an example call. There is no filler or redundancy; every part serves a purpose.

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 simple read-only tool with two required parameters fully described in the schema, the description is nearly complete. It explains what it returns and how to invoke it. The only minor gap is the lack of detail about the 'recent window' (e.g., time span, row count), but this does not prevent correct usage.

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%, with both _apiKey and dataset_id documented (including examples). The description restates dataset_id with additional examples but adds no new semantic information beyond the schema, so it meets the baseline without adding extra value.

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's action (pulls latest values), the resource (grid dataset), and provides concrete examples (ercot_load, caiso_fuel_mix). It implicitly differentiates from siblings like gridstatus_query and gridstatus_datasets by emphasizing 'latest' and 'convenience'.

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 for quickly retrieving recent rows, but does not explicitly name alternatives or conditions for when to use gridstatus_query instead. The phrase 'convenience' and the mention of a 'recent window' give context, but exclusion criteria are missing.

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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