Skip to main content
Glama

ledger/summary

ledger_summary
Read-only

x402 spend accounting for any Base wallet — totals + per-service breakdown reconstructed from chain data. $0.01 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoISO date or datetime, end of range. Default: now.
fromNoISO date or datetime, start of range. Default: 30 days before `to`.
walletYesEVM address (Base) whose x402 spend to reconstruct.
group_byNoservice
directionNooutbound = spend, inbound = revenue.outbound
min_amountNoMinimum USDC per transfer, e.g. 0.001.
include_unfilteredNoInclude non-x402 USDC transfers as category=other_transfer.

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already mark it read-only and open-world. The description adds useful behavioral context by noting data is 'reconstructed from chain data' and that a $0.01 USDC cost applies, which is not present in annotations. No contradictions with the annotations.

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, front-loaded sentence that conveys the core purpose and a key cost detail with no extraneous words. It is concise and well-structured, earning full marks.

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?

With 7 parameters and no output schema, the description is under-specified for a tool of this complexity. It doesn't mention date range handling, grouping options, direction filtering, or the return structure beyond 'totals + per-service breakdown.' More context is needed for correct invocation in varied scenarios.

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 description coverage is high at 86%, so the schema already explains most parameters. The description only loosely implies grouping via 'per-service breakdown' and doesn't add meaning to specific parameters like wallet, date range, or direction. Baseline 3 is appropriate.

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 explicitly states the tool provides x402 spend accounting with totals and per-service breakdown for any Base wallet, clearly identifying the resource and function. However, it doesn't explicitly differentiate from the sibling ledger_report, so it stops short of a 5.

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?

The description gives no guidance on when to use this tool versus alternatives like ledger_report or investigate_wallet. There are no explicit use cases, exclusions, or references to sibling tools, leaving the agent to infer usage from the purpose alone.

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.

TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a clearly distinct function — anchoring, decoding, wallet intelligence, entertainment, etc. Even similar tools like decode_calldata vs decode_tx and intel_wallet vs screen_wallet are precisely separated by descriptions.

Naming Consistency3/5

Most names follow a verb_noun pattern (anchor_hash, decode_calldata), but there are exceptions like aura_read (noun_verb), intel_wallet (noun_noun), and ledger_report (ambiguous). This mixed convention is readable but not fully consistent.

Tool Count4/5

18 tools is slightly above the ideal range but not overwhelming. Each tool serves a specific purpose, and the count feels reasonable for the broad set of utilities offered.

Completeness4/5

The core utilities (anchoring, wallet intelligence, ledger accounting) are well-covered without obvious dead ends. Some domain-specific workflows could be expanded (e.g., verifying anchors), but the existing tools provide complete standalone operations.