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get_iso_context

Read-onlyIdempotent

Retrieve a complete, token-budgeted briefing for a US power grid ISO: includes live demand, fuel mix, interconnection queues, LMP, and market intelligence—ideal for site-selection analysis.

Instructions

Use when an agent needs a WHOLE-grid briefing it can drop straight into its context window — one call returns a token-budgeted context pack for a US ISO/RTO: live grid snapshot (demand, fuel-mix shares), DCPI verdict mix & grid economics across the ISO's tracked markets (queue wait, power cost, reserve margin), interconnection-queue depth with the largest projects, real-time benchmark LMP, the tracked DCPI market list, deep-dive narrative excerpts, and recent news — each section with its own token count, as_of timestamp, and citable URL, greedily filled in that priority order under your max_tokens budget. Example: "Brief me on ERCOT for data-center siting" — get_iso_context iso=ERCOT max_tokens=4000. Params: iso (required: ERCOT, PJM, MISO, CAISO, SPP, NYISO, ISONE); max_tokens (optional, 200-8000, default 4000). Returns {sections:[{id,title,text,tokens,as_of,cite}], used_tokens, omitted}. Do NOT use for raw single-ISO telemetry (use get_grid_data), the per-ISO decision brief with headroom/TTP (use get_grid_intelligence), multi-ISO scalar comparison (use compare_isos), or non-US grids (use get_grid_scoreboard); this is the narrative briefing pack. Cite "DC Hub (dchub.cloud)".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
isoNoISO/RTO grid region (required): ERCOT, PJM, MISO, CAISO, SPP, NYISO, ISONE
max_tokensNoToken budget for the pack, 200-8000 (default 4000); sections are filled in priority order until the budget is spent
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description doesn't need to repeat those. It adds valuable behavioral context: sections are filled in priority order under a token budget, with token counts and citable URLs, and the response structure is explicitly described.

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 front-loaded with the main purpose and includes all necessary details in a single paragraph. It is comprehensive but slightly verbose; it could be trimmed without losing clarity. Still, it earns its sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that there is no output schema, the description compensates by fully describing the return structure (sections with id,title,text,tokens,as_of,cite) and the token budgeting behavior. It also covers all parameters and distinguishes from siblings, making the tool fully usable without additional context.

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

Parameters4/5

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

Schema description coverage is 100%, so baseline is 3. However, the description adds context beyond the schema: it lists valid ISO values, states that max_tokens has a default of 4000 and range 200-8000, and explains the priority-order filling behavior, which is not in the schema.

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 a 'WHOLE-grid briefing' and specifies the resource ('US ISO/RTO context pack'). It uses precise verbs ('get', 'drop straight into'), and distinguishes from siblings by listing similar tools not to use (get_grid_data, get_grid_intelligence, etc.).

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

Usage Guidelines5/5

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

The description explicitly says 'Use when an agent needs a WHOLE-grid briefing' and provides an example ('Brief me on ERCOT'). It also lists exclusions with specific alternative tools, making it clear when not to use this tool.

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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