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get_execution_health

Execution health na Base: RPC latence, agent aktivita, gas trend. Base public RPC nemá mempool — žádná pending-tx data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one meaningful behavioral limit: Base's public RPC has no mempool, so no pending-transaction data will be returned. That is genuinely useful context beyond the schema, but it says nothing about freshness, caching, or rate limits on the call itself.

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?

Two tight sentences with no filler, and the metric list is front-loaded before the caveat. Minor deduction for mixing Czech phrasing ('na Base', 'nemá mempool') into an otherwise English surface, which slightly muddies readability.

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?

An output schema exists, so return-value structure need not be explained, and the zero-parameter schema needs no elaboration. What remains missing is any sense of call frequency or what distinguishes this health check from the sibling network-health tools.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-arg tool applies. The metric list does signal what the call's scope is, which is a small bonus.

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?

Names a specific resource (execution health on Base) and enumerates the three metrics returned: RPC latency, agent activity, and gas trend. It is clearly distinguishable from siblings like get_bittensor_network_health or get_agent_liveness, though it never explicitly contrasts itself with them.

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?

There is no statement of when to reach for this tool versus alternatives such as get_bittensor_network_health or get_agent_sla. The second sentence is a data-availability caveat rather than usage guidance, so an agent must infer that this is the general-purpose Base health probe.

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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