Skip to main content
Glama

SageChimp book verdicts

get_book_reviews

Return published SageChimp reviews for a book. Each review is flagged isArcReview when it came from an ARC/incentivized copy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoSageChimp book slug
limitNo
queryNoTitle/author/ISBN if slug is unknown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two real traits: only 'published' reviews are returned, and each carries an isArcReview flag for ARC/incentivized copies. It says nothing about authentication, rate limits, pagination, or how many results come back.

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?

Two tight sentences with no filler, and the core action is front-loaded. It is appropriately sized for a straightforward read tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotations, so the description is the only documentation surface; it partially covers return content via the isArcReview flag but omits pagination behavior (limit defaults to 10, max 20) and the parameter-selection logic. Adequate but with clear gaps.

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

Parameters2/5

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

Schema description coverage is only 67%, so the description should compensate, but it never mentions slug, limit, or query. The slug-vs-query fallback rule ('Title/author/ISBN if slug is unknown') lives only in the schema and their interaction is never explained.

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?

States a specific verb ('Return') and resource ('published SageChimp reviews for a book'), which is unambiguous. It does not explicitly distinguish itself from the siblings get_book_verdict or search_books, so it falls short of the top tier.

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?

There is no when-to-use guidance, no mention of alternatives, and no prerequisites. Notably, the description never explains when an agent should supply 'slug' versus the title/author/ISBN 'query', which is the main decision the caller faces.

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.

Resources