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comment_on_annotation

Post a top-level comment on an annotation. Allowed if you bought the book or are its author. To reply to an existing comment, use reply_to_comment instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
languageNoen
annotation_idYes

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

The description discloses a key behavioral constraint (the purchase/authorship requirement), which is useful. However, with no annotations provided, the description carries the full burden of behavioral transparency. It does not mention other important aspects such as authentication needs, comment visibility/moderation, rate limits, or failure behavior. Thus it adds some value but not rich behavioral context.

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 two sentences with the action front-loaded. It is concise, free of fluff, and every sentence earns its place: the first states the purpose and the second adds a crucial condition and alternative. This is an exemplary compact structure.

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 tool with 3 parameters and no output schema, the description covers the core action, a permission condition, and an alternative. While it omits parameter explanations and return-value details, those are less critical here given the simplicity. It is reasonably complete for selecting and invoking the tool correctly.

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?

The input schema has 0% description coverage, and the description does not compensate by explaining any parameters. It implies that 'annotation_id' is the target annotation and 'body' is the comment text, but it gives no details about language defaults, length constraints, or format. The description adds essentially no meaning beyond the schema's field names and types.

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 an annotation.' This is a specific verb+resource pair that immediately conveys the tool's function. It also differentiates from the sibling tool by explicitly pointing to reply_to_comment for replying to existing comments.

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 gives explicit usage direction: it states the prerequisite 'Allowed if you bought the book or are its author' and provides an alternative 'To reply to an existing comment, use reply_to_comment instead.' This clearly tells the agent when and how to use this tool versus a close alternative.

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

B3.4/5.0
Disambiguation2/5

Several tools have overlapping purposes. For example, list_my_books and my_books both list authored books, and author_dashboard is a superset; list_orders and my_orders are near-duplicates; check_earnings and payout_balance both report earnings. This creates confusion and risks misselection.

Naming Consistency2/5

Naming is inconsistent. While many tools use verb_noun (list_annotations, get_book_details), others use my_* (my_books, my_orders), bare nouns (payout_balance), or compound verbs (connect_onboard). The lack of a uniform pattern makes the set feel disjointed.

Tool Count2/5

49 tools is excessive for a server, especially with at least three sets of near-duplicates. The platform is complex, but many tools could be merged (e.g., my_books and list_my_books, list_orders and my_orders). This count will overwhelm agents and increase misselection risk.

Completeness4/5

The toolset covers the core domain well: discover, purchase, read, comment, review, annotate, publish, monetize, verify, and manage payouts. Minor gaps exist, such as no update/delete annotation, no delete review, and no single-item getter for annotations/reviews, but these are not critical to the main workflows.

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