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Get Validator Score

get_validator_score
Read-only

Return the FlareWatch composite Score and full per-dimension breakdown for one Flare validator by NodeID. Each dimension carries its raw score, max, and the detail string explaining the score (e.g. 'Active outage · 3 consecutive missed epochs'). Methodology link returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish this is a read-only operation. The description adds valuable response-level detail: per-dimension raw score, max, detail string, an illustrative outage example, and a methodology link. This goes beyond the annotations without contradicting them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences with no filler. The core outcome is front-loaded, and the example detail string makes the abstract breakdown concrete without adding unnecessary length.

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?

For a one-parameter read tool with no output schema, the description adequately covers what the agent should expect: composite score, dimension-level details, and methodology link. It does not mention handling of invalid or unknown NodeIDs, but that is a minor gap given the simplicity of the call.

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?

The sole parameter node_id is given meaning as the validator's NodeID, but the description adds little beyond the schema's property name and pattern. With 0% schema-description coverage, this is minimal compensation, though the single obvious parameter limits the risk.

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 the specific verb 'Return' and the exact resource: the FlareWatch composite Score plus a full per-dimension breakdown for one Flare validator. This is clearly distinguishable from sibling listing tools by its focus on a single validator score.

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?

Makes clear this is for one Flare validator addressed by NodeID, which is actionable context. However, it does not explicitly name alternative tools or state when not to use them, so it stops short of full routing guidance.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools are cleanly separated by resource and action: list/compare/detail for validators and FTSO providers, network_* for distinct metrics, and get_my_* for wallet concerns. A couple of pairs could be confused (get_my_claimable vs get_my_rewards_history, and the network_* trio), but the descriptions provide enough boundary detail to pick correctly.

Naming Consistency5/5

Naming is highly consistent: all tools use snake_case with a leading verb (get_, list_, compare_, simulate_, verify_). The pattern is predictable, so an agent can infer the shape of an operation before reading its description.

Tool Count2/5

At 27 tools, the surface exceeds the 25-tool threshold and feels heavy, especially with five get_my_* personal tools, five agent-oriented tools, and three network_* tools. The broad scope explains some of the count, but many of these could be consolidated or split across separate servers.

Completeness4/5

The read-only analytics surface is quite comprehensive: validators, FTSO providers, network economics, chain activity, DeFi, FAssets, prices, feeds, personal balances, delegations, and agent status are all covered. Explicit gaps remain, such as FLR-side claimables, full tax record assembly, and a complete per-epoch rewards timeline, but these are clearly flagged as follow-on phases rather than dead ends.

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