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place_conditions

What is happening at a place: forecast (US NWS, MET Norway elsewhere), US weather alerts, earthquakes within 300 km in the last 7 days, England flood warnings and the Great Britain grid carbon intensity, from one lat/lon, each source with its licence. covered:false means the source does not cover the place, not all-clear. Not a safety service. $0.005 per call over x402 (USDC on Arc, Base or Solana, or XNT on X1). Call once without payment for the terms, sign them with your own wallet, call again with payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYeslatitude, decimal degrees, e.g. 51.5074
lonYeslongitude, decimal degrees, e.g. -0.1278
paymentNoa signed x402 payment (the base64 payload you would put in PAYMENT-SIGNATURE). Pass it and the purchase completes inside this tool call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

No annotations, so the description carries the full burden and does so well: it discloses the coverage semantics ('covered:false means the source does not cover the place, not all-clear'), a safety disclaimer ('Not a safety service'), per-source licensing, the cost ($0.005/call), accepted payment chains, and the two-step x402 signing flow. This is exactly the behavioral context an agent needs before spending money.

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?

Purpose is front-loaded in the first clause, and each subsequent sentence carries non-redundant information (coverage semantics, disclaimer, price, payment flow). It is dense and somewhat run-on, but no sentence is wasted.

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?

For a 3-param, no-annotation, no-output-schema tool, the description covers purpose, return-value nuance (the covered flag), disclaimer, pricing, and the payment protocol, leaving nothing an agent needs in order to call it correctly.

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 coverage is 100%, so lat/lon semantics are already documented (baseline 3). The description adds real meaning for the `payment` parameter by explaining the two-phase flow (obtain terms unsigned, then pass a self-signed payment), going beyond the schema's brief note.

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+resource with concrete scope: what is happening at a place, listing the exact sources (NWS/MET Norway forecast, US alerts, earthquakes within 300km/7d, England flood warnings, GB grid carbon intensity) from a lat/lon. An agent can tell exactly what this returns without opening the schema, and no sibling overlaps this domain.

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?

Clearly signals when to use it ('what is happening at a place') and prescribes the calling workflow: call once without `payment` to get terms, sign with your own wallet, call again with `payment`. It lacks explicit when-not guidance, but there is no competing sibling, so the context is complete enough for correct invocation.

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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