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SGPT9
by SGPT9

monad_metrics

Monitor Monad validator execution metrics and JSON-RPC latency by supplying a node endpoint.

Instructions

Monitor Monad high-throughput EVM validator execution metrics and JSON-RPC latency

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeEndpointNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It names the subject (Monad EVM metrics, JSON-RPC latency) but does not state whether the operation is read-only, what happens on invalid input, any rate limits, or whether results are historical or real-time. Without annotations, this is 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.

Conciseness3/5

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

The description is a single sentence with no fluff, and the purpose is front-loaded. However, it is too sparse for the tool's needs—it omits critical usage details and parameter explanation, making it more under-specification than effective conciseness. It is appropriately brief but not effectively informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one optional parameter and no output schema, the description should at minimum explain what the tool returns and how to provide the node endpoint. It does neither. The agent cannot reliably call this tool because it lacks the necessary context about input and output expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the sole parameter 'nodeEndpoint' has an empty description in the schema. The tool description does not mention 'nodeEndpoint' at all, leaving its meaning, format, and expected values entirely unspecified. The description adds zero value beyond the schema's type information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Monitor') and resource ('Monad high-throughput EVM validator execution metrics and JSON-RPC latency'), which is clear and distinct from unrelated siblings like generate_mushak_6_3 or verify_bkash_trx. However, it could be more precise about what 'monitor' entails (e.g., returns a snapshot, continuous stream?), so it does not fully capture the output nature.

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

Usage Guidelines1/5

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. While the siblings are clearly in different domains, the description does not mention any prerequisites, conditions for use, or exclusions. An agent receives no direction on when this tool is appropriate.

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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