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Ethereum recent event logs

eth_logs
Read-only

Recent contract event logs on Ethereum (eth_getLogs): the events a contract emitted over the last N blocks (1-1,000, default 50), optionally filtered by topic0 (the 0x 32-byte event signature hash). Returns up to 100 logs with block, transaction hash and topics. Use to watch transfers or contract events; for one transaction's outcome use eth_receipt. Example: address=0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Input Schema

NameRequiredDescriptionDefault
blocksNoHow many recent blocks to scan (1-1000, default 50)
topic0NoOptional 0x event signature hash to filter by
addressYes0x contract address

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses the block-scan cap (1-1,000, default 50), the result cap (up to 100 logs), the returned fields, and the billing model ($0.01/call, first 25 free, failed calls free, 'repeats are not free'), which is consistent with idempotentHint=false. That pricing/limit detail is exactly the context annotations cannot carry.

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?

Front-loads the core definition and limits, then the alternative, then an example, then billing. Dense but every clause carries information; the example address and pricing sentence are the only parts that could be trimmed.

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

Completeness5/5

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

With no output schema, the description compensates by naming the return contents (block, transaction hash, topics) and the 100-log cap. Combined with cost and scan-window limits, an agent has everything needed to call this correctly and predict the response shape.

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?

Schema coverage is 100%, so the schema already documents all three parameters, making 3 the baseline. The description adds modest value by restating the range/default and clarifying that topic0 is the '0x 32-byte event signature hash' plus a sample address, but nothing that isn't largely inferable from the schema.

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

Purpose5/5

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

States a specific verb+resource ('Recent contract event logs on Ethereum') and anchors it to the underlying RPC method (eth_getLogs). It explicitly names the sibling it is not for ('for one transaction's outcome use eth_receipt'), so the agent can separate it from eth_receipt and the per-chain *_logs variants without opening schemas.

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

Usage Guidelines4/5

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

Gives a concrete use case ('watch transfers or contract events') plus an explicit exclusion with the alternative ('for one transaction's outcome use eth_receipt'). The only soft spot: it recommends this for 'transfers' even though a sibling eth_token_transfers exists, which could route a transfer query suboptimally.

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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