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Glama

Summarize Operating Reserve Market

summarize_operating_reserve_market
Read-onlyIdempotent

Summarize operating reserve market prices and volumes by reserve product, with optional standby activation data using volume-weighted prices. Get blended clearing prices for regulating, spinning, and supplemental reserves over a date range.

Instructions

Summarizes active prices or standby clearing blended prices and volumes by reserve product; optionally joins standby activations using volume-weighted activation price.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
metadataYesProvenance and semantic metadata attached to dataset responses.
warningsNo
methodologyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.0

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds meaningful behavioral context by explaining that results are aggregated by reserve product and that activations can optionally be joined using volume-weighted activation price, clarifying what the summarization actually computes.

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 a single dense sentence and is mostly front-loaded with the core action. It is compact, but the phrasing is jargon-heavy and somewhat ambiguous, which prevents a top score.

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?

The output schema and safety annotations reduce the burden of explaining return shape and side effects. However, for a nested request object with several schema-undocumented parameters and many sibling tools, the description still lacks guidance on date-range semantics and tool selection, making it only minimally complete.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It partially clarifies reserve_types and include_activations, but it does not explain start_date, end_date, limit, or offset, leaving required parameters defined only by their schema types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific action ('summarizes') and resource (operating_reserve_market), and specifies that it aggregates prices and volumes by reserve product. It does not explicitly distinguish itself from sibling tools such as get_operating_reserve_prices or get_operating_reserve_activations, and phrases like 'active prices or standby clearing blended prices' introduce some ambiguity.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It only implies a summarization use case, leaving the agent to infer the appropriate selection among many sibling market-data tools.

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