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ExpertVagabond

robinhood-chain-mcp

get_nonce

Retrieve the transaction count (nonce) for a given address on the Robinhood Chain, essential for constructing valid transactions.

Instructions

Transaction count (nonce) for an address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
blockNolatest
addressYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral traits. It only states what is returned (transaction count), but does not disclose whether it is read-only, error conditions, block handling, or side effects. Minimal transparency.

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

Conciseness3/5

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

The description is concise (one sentence, 7 words) and front-loaded. However, this brevity sacrifices necessary details for the agent, making it minimally adequate.

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

Completeness1/5

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

Given the tool's simplicity (2 params, no output schema, no annotations), the description is incomplete. It omits block parameter explanation, return format, error handling, and chain context. An agent would likely need additional knowledge to use this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description adds no meaning beyond parameter names. The 'block' parameter is unexplained (e.g., block number vs. tag). The address parameter is minimally implied by 'for an address'. Agent receives no useful parameter context.

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 'Transaction count (nonce) for an address' uses a specific verb ('get' implied) and resource (nonce for address). It clearly distinguishes from sibling tools like 'get_balance' or 'random_nonce', which handle different or derived data.

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?

No guidance on when to use this tool versus alternatives (e.g., get_balance, chain_info). No mention of prerequisites, context, or exclusions. The agent must infer usage from the name alone.

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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