Skip to main content
Glama

Staking overview & validator list

flowscan_staking_overview
Read-only

List Hyperliquid staking validators with total HYPE staked, delegator and validator counts, commission, staker count, and jailed status; filter, sort, and exclude jailed validators.

Instructions

The /validators (Staking) page: total HYPE staked, delegator count, validator count, and every validator (~35) with name, address, commission (bps), total delegated HYPE, staker count and jailed flag (descriptions only with includeDescription). Filter by name/address, drop jailed validators, sort ascending or descending: e.g. sortBy=commission_bps, order=asc, excludeJailed=true finds the cheapest active validator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax list items (default per tool).
orderNoSort direction (default desc, or asc for name).
fieldsNoPaths to keep, relative to `data` (list tools: each row); misses go to _fieldsNotFound.
offsetNoList items to skip.
searchNoFilter validators by name or address substring.
sortByNoSort key (default total_delegated).
excludeJailedNoDrop jailed validators (default false).
includeDescriptionNoInclude each validator's free-text description (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuine context beyond that: the scale (~35 validators) and the conditional behavior that descriptions are returned only when includeDescription is set, which tells the agent how output volume varies.

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?

Front-loaded with the resource and its return fields, then filters, then a single illustrative example; every clause carries information. It is a long, dense sentence, but nothing is redundant with the schema beyond brief field naming.

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?

There is no output schema, and the description compensates by enumerating both the page-level aggregates and the per-validator record shape. Combined with the filtering/sorting guidance and the schema's 100% parameter coverage, an agent has everything needed 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?

With 100% schema description coverage the baseline is 3, and the description goes further by tying parameters to intent: search filters by name/address, excludeJailed drops jailed validators, and the worked example combines sortBy, order and excludeJailed into a real query. It leaves limit/offset/fields unmentioned, but those are well covered by 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?

It names the exact resource ('The /validators (Staking) page') and enumerates the concrete aggregates and per-validator fields returned (total HYPE staked, delegator count, commission bps, jailed flag), which lets an agent distinguish it from staking_events and validator_stakers without opening a schema.

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?

It supplies a concrete usage scenario ('sortBy=commission_bps, order=asc, excludeJailed=true finds the cheapest active validator') and describes the available filtering/sorting operations, giving clear context for when this tool applies. It stops short of explicitly naming alternatives such as flowscan_validator_stakers, so no exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.