Skip to main content
Glama
ExpertVagabond

robinhood-chain-mcp

block_number_context

Explains the three different block numbers on this Orbit chain—L2 height, L1 block.number, and ArbSys.arbBlockNumber—to prevent integration bugs.

Instructions

Explain the three different 'block numbers' on this chain: the L2 height from eth_blockNumber, the L1 height a contract sees via block.number, and ArbSys.arbBlockNumber(). Getting these confused is the most common Orbit integration bug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only describes the explanatory function without mentioning traits like whether it makes a network call, returns text, or has side effects. This lack of detail reduces transparency.

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?

The description is a single, well-structured sentence that starts with the action verb 'Explain' and immediately conveys the tool's purpose, with no redundant words.

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?

Given no parameters and no output schema, the description is largely complete for a simple explanatory tool. However, it could specify the output format (e.g., returns a string) to be fully self-contained.

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 has no parameters, so the input schema fully covers parameter semantics. Description adds no parameter info, but baseline is 4 for zero parameters.

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?

The description explicitly states the tool's purpose: to explain the three different block numbers on the chain. It uses a specific verb 'Explain' and identifies the resource 'three different 'block numbers'', clearly distinguishing it from related sibling tools like arb_block_number which returns a single block number.

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 when to use the tool by calling out a common bug ('getting these confused'), providing context but no explicit when-not-to-use or alternative tools. The guidance is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ExpertVagabond/robinhood-chain-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server