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Tron List Witnesses

tron_list_witnesses
Read-onlyIdempotent

TRON super representatives and candidates: who is producing blocks, how many they produced, how many they missed, votes and websites - read from our own node. When to use: governance or staking questions about TRON, or checking the health of block production. Do not use: for account balances (tron_get_account). Returns: registered_witnesses, active_block_producers, top_by_blocks_produced[] with address, url, blocks_produced, blocks_missed, votes, in_active_set.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many top producers to return (default 30)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds meaningful behavioral context beyond that: the data is 'read from our own node' and it enumerates the shape of the returned structure. It stops short of pagination/rate-limit or freshness details, so it is strong but not exhaustive.

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?

Dense but front-loaded: purpose first, then 'When to use', 'Do not use', and 'Returns'. Each clause carries information (purpose, routing, return shape). Slightly long due to the parenthetical field list, but no sentence is redundant.

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?

No output schema exists, yet the description compensates fully by enumerating the return keys (registered_witnesses, active_block_producers, top_by_blocks_produced[] with address, url, blocks_produced, blocks_missed, votes, in_active_set). Combined with the single well-documented parameter, an agent has everything needed to call and interpret it.

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% for the single 'limit' parameter, so the schema already documents default 30 and max 200. The description mentions 'top_by_blocks_produced[]' and implicitly that results are top-ordered, but adds no syntax or format detail beyond the schema. Baseline 3 applies.

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 (list TRON witnesses/super representatives and candidates) and immediately scopes what data it surfaces: block production, misses, votes, websites. It distinguishes itself from siblings by explicitly naming tron_get_account as the tool NOT to use for this purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides an explicit 'When to use' (governance/staking questions, block production health) and a 'Do not use' exclusion routing to tron_get_account. Both the positive and negative selection conditions are stated, leaving nothing to inference.

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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