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get_spen_grid_intelligence

Retrieve composite grid intelligence for SP Energy Networks, integrating GSP queue positions, DG network capacity, and curtailment events. Filter by GSP name.

Instructions

SP Energy Networks composite grid intelligence. Combines GSP queue positions, DG connections network capacity (SPD), and capacity management curtailment events. Filter by GSP name. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoDays of curtailment history (default 90, max 365). Only affects capacity management data.
gsp_nameNoFilter by GSP name (case-insensitive substring match).
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It discloses the API key requirement and the three data sources combined, which is useful. However, it lacks details about output format, data freshness, or limitations, leaving some behavioral aspects opaque.

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 four short, focused sentences: purpose, data components, filtering, and authentication. It is front-loaded with the essential information and contains no unnecessary words or repetition.

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 two-parameter tool with no output schema, the description adequately explains what the tool does and its main filter. It would benefit from explaining the acronym SPD and describing the result structure, but it provides sufficient context for a competent agent to invoke it.

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 coverage is 100% with both parameters described, so the baseline is 3. The description adds no new parameter meaning beyond the schema, only restating the GSP filter. It doesn't mention the days parameter or clarify any format expectations.

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 provides SP Energy Networks composite grid intelligence, enumerating the specific data components (GSP queue positions, DG connections network capacity, curtailment events). It identifies a unique resource (SPEN) and differentiates from sibling tools focused on other networks or single data types.

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

Usage Guidelines4/5

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

The description gives concrete usage context: it's for SPEN grid intelligence, with filtering by GSP name and an API key requirement. It does not explicitly mention alternative tools or when not to use it, but the SPEN scope and composite nature make the use case clear.

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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