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Predict Gas

predict.gas
Read-onlyIdempotent

Gas price prediction: EMA-based forecast for the next 5 minutes and 1 hour using accumulated readings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoEVM chain only. Supported chains: base, ethereum, arbitrum, optimism, polygon, bsc, avalanche, zksync, linea, scroll, blast, mantle, gnosis, polygon-zkevm, mode, sei, celo, manta, taiko, fantom, cronos, opbnb, zora, worldchain, metis, fraxtal, kava, zetachain, filecoin, core-dao, aurora, moonbeam, klaytn, bob, canto, monad, tempo, megaeth, arc, plasma, katana, robinhood, pharos, hyperevm.base

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainYesBlockchain queried
horizonNoPrediction time horizon
timestampNoUnix timestamp ms
confidenceNoConfidence score 0-1
predictionYesPrediction result

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully carried by structured data. The description adds some genuine value by disclosing the method (EMA) and its dependence on 'accumulated readings', but says nothing about prediction reliability, required history depth, or whether it fails when no readings exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

A single sentence with no waste, front-loading the core identity ('Gas price prediction') before the qualifying detail. Every clause earns its place: method, horizons, and data dependence.

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 values need no explanation, and the safety profile is covered by annotations. The description is nearly complete for a one-parameter prediction tool; the only real gap is whether accumulated readings must already exist before calling, which affects whether the tool can be used cold.

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?

Only one parameter and schema description coverage is 100%, with the full enum of supported EVM chains already documented in the schema, including the EVM-only constraint and the 'base' default. The description contributes nothing about the chain parameter, so the baseline 3 is appropriate.

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?

States a specific verb (prediction/forecast) and resource (gas price) plus concrete horizons (next 5 minutes and 1 hour) and method (EMA). This clearly separates it from a current-price tool like gas.tracker or gas.history, but it never explicitly names which sibling it replaces or overlaps with.

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 when-to-use guidance and no named alternatives (gas.tracker, gas.optimize, gas.history, oracle.gas_avg all sit adjacent). An agent must infer from the word 'forecast' that this is the forward-looking gas tool, which is left entirely 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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