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sol_overview

Comprehensive Solana ecosystem overview: SOL price, TVL ($6.6B), supply, TPS, epoch, protocol count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

No annotations exist, and the description only lists output topics without disclosing behavioral traits such as data freshness, whether it is a read-only call, or any potential delays. The specific TVL value ($6.6B) may imply static data but this is not stated, leaving operational behavior unclear.

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?

The description is a single, compact sentence with a clear structure (summary followed by a list). However, the hardcoded TVL ($6.6B) could become outdated and lead to misuse; this is a minor concern for conciseness but not overlong.

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 zero-parameter tool with no output schema, the description covers the key information an agent needs to understand the tool's purpose and contents. It could mention that it provides current ecosystem health data, but given the simplicity, it is nearly complete.

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 has zero parameters, so the schema fully covers parameter semantics. A baseline of 4 is appropriate because no parameter explanation is needed, and the description clearly states what data will be returned.

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?

The description clearly identifies the tool as a comprehensive Solana ecosystem overview, enumerating the specific metrics included (price, TVL, supply, TPS, epoch, protocol count). This distinguishes it from sibling tools that focus on narrower topics like DEX volume or validator info.

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?

No guidance is provided on when to use this tool versus the sibling tools. The word 'comprehensive' implies a high-level starting point, but there is no explicit 'use this for...' or 'alternatives include...' to help an agent choose correctly.

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

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct aspect of Solana: network stats, DeFi yields, DEX volumes, protocol health, validators, wallets, tokens, and transactions. Even potentially similar tools like sol_protocol_list and sol_protocol_health are clearly separated by purpose (ranking vs. health metrics).

Naming Consistency5/5

All tools follow a strict sol_<resource> pattern with noun phrases (e.g., sol_bridge_flows, sol_token_risk). This is consistent and predictable, though not verb_noun, the pattern is uniform and readable.

Tool Count5/5

12 tools is well within the ideal range for a Solana data oracle. Each tool covers a meaningful area without redundancy, and the count reflects the complexity of the domain without feeling bloated.

Completeness5/5

The toolset provides comprehensive coverage of Solana ecosystem monitoring: network health, DeFi stats, protocol risk, token risk, wallet analysis, and transaction monitoring. No obvious dead ends or missing critical operations for the purpose of an oracle server.