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List credit transactions

list_credit_transactions
Read-only

Audit the organization's credit accounting log: grants (signup/monthly/pack/promo), debits (audit_base 50cr + render 2cr/page + folded 0-cost services), refunds, and adjustments — newest first, paginated. Each debit/refund carries run_id so you can group a single audit's spend. Use this to explain why an audit cost what it cost or to reconcile a balance. For one audit's per-feature breakdown, use get_report (its cost field). Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax transactions to return (default 25, max 100).
cursorNoOpaque pagination cursor from a previous page's `next_cursor`.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false. Description adds behavioral details: each debit/refund carries run_id for grouping, pagination, and explicit 'Read-only' confirmation. No contradictions with annotations.

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?

Description is well-structured, front-loaded with purpose, then details, then usage. While comprehensive, it is efficient and every sentence adds value. Slightly longer than minimal, but not verbose.

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?

No output schema, but description explains return details: newest first, each entry includes run_id, pagination via cursor. Covers what the agent needs to know to interpret results and use effectively.

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 both parameters described (limit with default and max, cursor as opaque pagination token). Description does not add additional semantics beyond schema; baseline 3 is appropriate.

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 clearly states the tool audits the organization's credit accounting log, listing grants, debits, refunds, adjustments. It distinguishes from get_report (per-feature breakdown) and get_credit_balance (balance), and specifies ordering (newest first, paginated).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit usage guidance: 'Use this to explain why an audit cost what it cost or to reconcile a balance.' Also directs to use get_report for per-feature breakdown, clearly differentiating when to use this tool vs sibling.

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

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct resource-action pair: websites, audits, issues, rules, credits, notifications, and account info are cleanly separated. Even the close pairs (delete_website vs delete_websites, get_rule vs list_rules) are clear singular/bulk or fetch-all vs fetch-one distinctions.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: add_, delete_, get_, list_, run_, comment_, send_, create_. The only outlier, whoami, is a conventional standalone command and does not break the overall predictability.

Tool Count4/5

At 20 tools, the surface is slightly heavy, but the count is justified by the wide domain coverage: audit lifecycle, issue tracking, rule catalog, billing/credits, notifications, and account management. Each tool appears to earn its place, and none feel redundant.

Completeness4/5

The core workflow is well covered: run an audit, poll it, fetch a report, compare audits, list and comment on issues, browse rules, and manage websites. Minor gaps exist—no cancel-audit tool, no update_website, and issues cannot be status-changed—but agents can work around these using the existing tools.