sol_bridge_flows
Bridge deposit/withdrawal flow monitoring for Solana
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Bridge deposit/withdrawal flow monitoring for Solana
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits, but it only says 'monitoring,' which implies a read-only operation without explicitly stating it. It does not describe what data is returned, any limitations, or whether the tool is safe/non-mutating, leaving a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise phrase with no repetition or fluff. It is easy to scan, though it could benefit from being a full sentence or adding a bit more structure to convey the action explicitly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that there is no output schema and no annotations, the description carries the burden of explaining what the tool returns, but it only mentions 'monitoring' without specifying metrics (e.g., volume, direction) or the scope of bridge flows. The tool is not self-explanatory enough for an agent to fully understand its capabilities.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, and the instructions set a baseline of 4 for no-parameter tools. The description adds no parameter-specific details, but none are required because the schema is empty, so the baseline is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool's focus ('Bridge deposit/withdrawal flow monitoring for Solana'), distinguishing it from siblings like sol_dex_volume or sol_defi_yields. However, it lacks a strong verb like 'get' or 'list,' making it more of a noun phrase than an explicit action, so it falls short of a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention any exclusions, prerequisites, or comparison to other Solana tools, leaving the agent to infer usage from the context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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).
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.
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.
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.