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base_l2_blob_gas_price_projector

Predicts blob gas fees and Base L2 costs to determine optimal block inclusion timing for settling transaction batches.

Instructions

Evaluates EIP-4844 blob gas fee dynamics and Base L2 sequencing costs, projecting optimal block inclusion timing for transaction batch settlement. (0.035 USDC on Base L2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesInput parameters or JSON string payload for the tool execution
paymentSignatureNoBase L2 USDC micropayment signature or transaction hash for x402 settlement

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions a USDC charge '(0.035 USDC on Base L2)' but does not explain the payment flow, whether the tool executes on-chain, requires a signature, or what side effects occur. The agent is left without critical operational context.

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 front-loaded sentence that communicates the primary function and expected output. The parenthetical pricing note is a minor extra but not bloated; the overall structure is efficient and gets to the point quickly.

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

Completeness2/5

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

The tool is moderately complex (fee dynamics, timing projection, payment), yet the description omits what the returned result looks like, how the payment is processed, and any operational constraints. There is no output schema and no annotations, leaving several gaps an agent would need to fill before confidently invoking it.

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?

Both parameters are described in the schema (100% coverage), so the baseline is 3. The description adds domain context but does not explain what should go in the 'payload' or how to obtain/construct the paymentSignature beyond the schema's generic wording. It neither compensates for gaps nor contradicts the schema.

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 names a specific verb ('Evaluates'), a distinct resource (EIP-4844 blob gas fee dynamics and Base L2 sequencing costs), and a concrete outcome ('projecting optimal block inclusion timing'). It is distinguishable from the long sibling list, where no other tool handles blob gas or L2 fee projection, though the heavy jargon slightly limits clarity.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the use case—optimizing batch settlement timing on Base L2—so an agent can infer when to call it. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites, leaving the guidance implicit.

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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