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get_individual_purchases

Retrieve a paginated list of individual purchases for a book by slug, with optional email filter and page number.

Instructions

Get a paginated list of individual purchases for a book.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
slugYes
emailNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations provided, the description must carry the behavioral transparency burden. It does disclose a read-only intent ('Get') and the response shape ('paginated list'), but it says nothing about error cases, authentication requirements, rate limits, or what data is excluded from the list. The disclosed behavior is minimal but at least non-misleading and partially informative.

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?

The description is a single, grammatically tight sentence with no filler. It front-loads the action and resource, which is good. However, it could have used the limited word count to add a brief parameter or usage note without becoming verbose, so it is concise but not optimally informative.

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 no annotations, no output schema, and 0% schema description coverage, the description is the only source of guidance. It fails to explain the required slug, the optional page and email parameters, the meaning of 'individual purchases,' or any pagination details. It is adequate as a label but insufficient for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description mentions none of the three parameters (page, slug, email). It vaguely says 'for a book' but does not map to slug, and it entirely omits the meaning of email and page. An agent cannot infer parameter semantics from either the schema or the description, making it nearly impossible to call correctly without external knowledge.

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 states a specific verb ('Get') and resource ('a paginated list of individual purchases for a book'), which generally distinguishes it from siblings like get_royalties or get_book_reader_emails. However, the term 'individual purchases' is not elaborated, leaving some ambiguity about what counts as an individual purchase versus other financial or reader data.

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. It does not mention related tools such as get_royalties for financial summaries or get_user_reader_emails for reader contact data, nor does it state conditions that would make this tool the correct choice. The agent must infer usage entirely from the tool name and generic phrase.

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