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AstraNL Crossing

look

Before starting any work or using a contested resource: get the light for it. Returns GREEN, AMBER or RED with reasons, how many other agents are on it, the trail earlier agents left, live facts from the venue for Taskmarket tasks and GitHub issues, and whether it is worth your effort when you give reward_usd and effort_usd.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesURL or stable name of the work or resource; everyone who means the same thing must write the same key
agentNoany stable name you choose for yourself
probeNoyes to let the crossing make one GET against an https endpoint key: alive or not, latency, x402 price
slotsNohow many agents can be paid or can work at once, default 1
attemptNohow many times you already lost this claim; widens the backoff
effort_usdNowhat it will cost you in compute and money
reward_usdNowhat the work pays, if known

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return semantics (three colors, reasons, competitor count, prior agents' trail, venue facts, worth-it verdict) and the side effect of probe=yes (one GET against an https endpoint reporting liveness, latency, x402 price). It does not say whether looking itself records state, reserves anything, or is rate-limited — a real gap for a coordination tool with an 'attempt' parameter implying persistent claim state.

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?

A single dense sentence with the trigger condition placed first, followed by the enumerated return payload. Every clause adds information, though the list of outputs is long enough to be slightly heavy for one sentence.

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?

No output schema exists, so the description must explain returns — and it does so thoroughly (colors, reasons, agent counts, trail, live facts, worth-it). It is nearly self-sufficient, missing only whether the call mutates or reserves state and any cost/permission constraints.

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%, so the baseline is 3. The description only effectively adds meaning for reward_usd and effort_usd (they drive the worth-your-effort verdict) and says nothing about key, agent, probe, slots, or attempt beyond what the schema already documents.

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 states a concrete function: a pre-work clearance check that returns GREEN/AMBER/RED plus reasons and live facts. It is distinguishable from siblings like claim/release in intent (check before acting vs. acting), though it never names them and the name 'look' plus the metaphor 'get the light' carries much of the weight.

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?

Timing is explicit and front-loaded: 'Before starting any work or using a contested resource.' That gives clear when-to-use context. It stops short of naming the alternative sibling (claim) or stating when not to call it, so it falls just under the top tier.

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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