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Toll — coin checks on Robinhood Chain, Arc, BSC and Solana

Chain pulse

chain_pulse
Read-only

How busy Robinhood Chain is right now, as Toll's live engine counts it: launches in the last 5 minutes and hour, graduations, launches by launchpad, new pools, trades a minute and volume. Robinhood Chain only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds useful context that this is a live, right-now snapshot computed by Toll's engine, but it never states whether values are cached, how often they refresh, or the snapshot timestamp. Behavioral value added is modest relative to the annotation coverage.

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?

One front-loaded sentence that leads with the headline ('How busy Robinhood Chain is right now') before the metric list, and the scope caveat is attached at the end. It is dense but every clause names a distinct returned metric, so little is wasted.

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?

With no output schema, the description carries the return-value burden and does so by enumerating the metric families an agent can expect. It lacks freshness/latency expectations for a 'live' feed, which would be the last piece needed for full confidence in a no-argument tool.

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?

The tool takes zero parameters, so per the rules the baseline is 4. The description correctly implies no filtering arguments are available, keeping the parameter story consistent with the empty schema.

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?

States a specific subject (real-time activity metrics on Robinhood Chain) and enumerates the concrete signals returned (launches, graduations, pools, trades, volume). Scope is pinned with 'Robinhood Chain only'. It stops short of distinguishing itself from the sibling fresh_launches, which appears to overlap with the 'launches in the last 5 minutes' portion.

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?

There is no explicit when-to-use guidance and no routing to alternatives. The only boundary stated is a data-scope limitation ('Robinhood Chain only'), which is a constraint rather than usage direction. An agent must infer on its own when this summary beats fresh_launches or launch_record.

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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