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comment_on_review

Post a top-level comment on a review. Allowed if you bought the book or are its author (e.g. an author responding to feedback). To reply to an existing comment, use reply_to_comment instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
languageNoen
review_idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the key behavioral constraint: the action is only allowed if you bought the book or are its author. It also clarifies the 'top-level' nature, which implies a direct comment rather than a reply. However, it does not mention potential failure modes (e.g., error if unauthorized) or side effects beyond posting.

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?

The description is concise and well-structured: purpose first, then eligibility, then an explicit pointer to an alternative. Each sentence earns its place with no filler or redundancy.

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?

For a simple mutating operation with no output schema and no annotations, the description covers the essential contextual elements: what it does, who is allowed, and how it differs from the sibling tool. It does not detail response behavior or optional parameter specifics, but these are not critical for basic usage.

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 description coverage is 0%, so the description must compensate. It implies that 'review_id' is the target review and 'body' is the comment content, but it does not explicitly describe parameters or the optional 'language' field. The tool name and description give enough context for an agent to infer core parameters, but language semantics are missing.

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?

The description clearly states the action: 'Post a top-level comment on a review.' It specifies the resource (review) and the type (top-level comment), explicitly distinguishing from replying to an existing comment. The eligibility conditions also add clarity about the intended use.

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?

The description provides explicit when-to-use guidance: post a top-level comment on a review, with eligibility based on book purchase or authorship. It also names the alternative tool (reply_to_comment) for replying to existing comments, giving clear disambiguation.

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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