Skip to main content
Glama

Wallet approvals

wallet_approvals
Read-onlyIdempotent

A wallet's live token approvals on Robinhood Chain: ERC-20 allowances, NFT approval-for-all and Permit2 allowances, newest first (at most 200, with how many more). Each one: the token, the spender (plain wallet or contract, and its name when Toll knows it), the amount (unlimited flagged), a risk (high / medium / low), and the revoke transaction (to, data, value 0) with check_tx's answer on it. Revoked, zero and expired allowances are left out. Facts read from the chain, not advice.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "wallet": "<wallet>"
    },
    "name": "wallet_approvals"
  }
}

Input Schema

NameRequiredDescriptionDefault
walletYesThe wallet address on Robinhood Chain: 0x followed by 40 hex characters

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description still adds real value by disclosing the 200-item cap with a 'how many more' count, the exclusion of revoked/zero/expired allowances, unlimited-amount flagging, and that returned revoke data carries check_tx's answer. It does not say how to page past the 200 cap, which matters given no pagination parameter exists.

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?

It is essentially one long dense sentence, but it is front-loaded with the resource and scope and every clause carries information (types, ordering, cap, per-item fields, exclusions). Slightly heavy in a single breath, but no filler.

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?

There is no output schema, so the description carries the full burden of describing return values, and it does so item by item: token, spender plus known name, amount with unlimited flag, risk level, and revoke transaction fields. Combined with the exclusion rules and cap, an agent has enough to interpret and act on the result.

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?

There is a single parameter, fully documented in the schema (100% coverage) with a format pattern and chain qualifier, and the description adds nothing contradictory. With one fully-specified parameter and no semantic ambiguity, this sits slightly above the schema-covered baseline.

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 names the exact resource (a wallet's live token approvals on Robinhood Chain) and enumerates the approval types covered: ERC-20 allowances, NFT approval-for-all, and Permit2. It also states ordering and result cap, so an agent knows precisely what this returns and how it differs from generic wallet or transaction lookups like check_tx.

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?

Usage is only implied: the presence of risk ratings and revoke transaction data signals an audit/cleanup workflow, and check_tx is mentioned as supplying a safety answer, but the description never says when to call this versus siblings such as presign_risk_report or check_tx. No explicit exclusions or prerequisites are given.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.