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Glama

XDaLa Workflow Builder

by io.github.xgr-network

Get XDaLa step statistics

get_xdala_step_stats
Read-onlyIdempotent

Use this when the user asks for step-level XDaLa statistics, for example “how many steps were valid”, “invalid steps”, “failed steps”, “step gas totals”, or “step stats for a session”.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerNoEVM address of the XDaLa session owner or relevant account.
bucketNoValue for the bucket parameter.
sessionIdNoXDaLa session identifier used to query runtime or explorer data.
windowHoursNoValue for the window hours parameter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured result data returned by the XGR MCP gateway.

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, so description does not need to repeat safety. The description adds value by specifying the types of statistics available (valid, invalid, failed, gas totals), but does not detail output format or pagination.

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?

Single sentence, front-loaded with purpose, zero wasted words. Highly efficient.

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 4 optional parameters and an output schema, the description is sufficient to guide usage. It covers the purpose and typical queries, though more detail on parameter interactions could improve completeness.

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% with descriptions for all 4 parameters. The description adds no additional parameter meaning beyond the examples, so it meets the baseline but does not exceed.

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?

Description explicitly states the tool returns 'step-level XDaLa statistics' and gives concrete examples like 'how many steps were valid', 'invalid steps', etc. It clearly distinguishes from siblings like get_xdala_session_stats by focusing on step-level.

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?

States 'Use this when the user asks for step-level XDaLa statistics', providing clear context. Does not explicitly mention when not to use or alternatives, but the examples cover common queries.

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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TDQS

B3.2/5.0
Disambiguation2/5

There are many overlapping session-listing tools (list_xdala_sessions, get_recent_xdala_sessions, find_latest_xdala_session, list_xdala_session_ids, get_latest_session_payload) and duplicate validation tools (validate_xdala_bundle is an alias for validate_xgr_multibundle). Descriptions help but boundaries are still unclear.

Naming Consistency4/5

The verb_noun snake_case pattern is consistent across nearly all tools (get_, list_, create_, cancel_, validate_). Minor inconsistencies include the alias validate_xdala_bundle and interchangeable verbs like get_ vs read_ vs resolve_ for similar read operations.

Tool Count1/5

With 95 tools, this is far beyond the 25+ threshold for 'too many'. While the domain is broad, the sheer number makes the tool surface unwieldy and difficult for an agent to navigate.

Completeness4/5

The tool set covers a wide range of operations: handoffs, session queries, transaction exploration, contract reads, validation, gas requests, and purchases. Minor gaps exist (e.g., no direct workflow editing tools), but overall the surface is remarkably complete.

Resources