Book stats
book_statsThe book at a glance. Stripe test mode. Test cards only, no real money moves.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
book_statsThe book at a glance. Stripe test mode. Test cards only, no real money moves.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already signals a read-only operation, and the description adds useful context: it runs in Stripe test mode and moves no real money. However, it doesn't clarify what data is returned or what "the book" refers to, so transparency is only partially improved.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, with no wasted verbiage. However, the main phrase is vague, and the two Stripe-related sentences are largely redundant with each other.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no parameter constraints, the description should explain what stats are shown or what "the book" means. It does neither, leaving the agent to guess at the response shape and the tool's exact purpose among several siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema fully covers everything by definition. The baseline for 0 params is 4, and no parameter descriptions are needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
"The book at a glance" suggests a summary or overview, but there is no verb and no concrete statement of what the tool produces. It largely restates the tool name and does not differentiate it from siblings like status or list_chains.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. The Stripe test-mode note is about environment and safety, not about invocation context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct actions, but join_chain and park_intent explicitly duplicate join and park as deprecated v1 versions, creating unnecessary ambiguity. Additionally, get_chain, status, and book_stats all provide overlapping chain-state information and could be confused.
Tool names mix single verbs (join, leave, park, waitlist), verb_noun patterns (get_chain, list_chains), and noun-like names (status, book_stats). The deprecated _intent and _chain suffixes add further inconsistency without a clear convention.
Ten tools is reasonable for the domain, but two are deprecated duplicates that should be removed, making the effective count eight. The remaining tools are well-scoped to the chain and waitlist workflow.
The core lifecycle is covered: discover chains, join, leave, check status, park an intent, and waitlist. Minor gaps exist around canceling a park or waitlist entry, but the surface supports the main agent workflows without dead ends.