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propose_category

Propose a new category (taxonomy node) for the catalog. This is a PAID action: the fee scales with how deep the path is — 2 segments = $5, 3 = $20, 4 = $50 (e.g. 'technology.ai.agents'). The proposal is reviewed by an operator before the category goes live; there is no automatic refund if it is rejected. Returns a checkout_url to pay (or settles immediately if an SPT token is supplied).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYesHuman-readable display label for the category.
spt_tokenNoOptional Shared Payment Token to charge the fee immediately instead of returning a checkout URL.
example_booksNoUp to 10 existing book ids that would belong under it.
justificationNoWhy this category should exist.
proposed_pathYesDotted lowercase taxonomy path, 2-4 segments, e.g. 'technology.ai.agents'.

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations available, the description carries the full behavioral burden and does so excellently. It discloses the paid nature, tiered fee schedule, operator review, no-refund policy, and the payment flow (checkout_url vs. immediate settlement with SPT token). This is substantial transparency for a mutating financial action.

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 compact and front-loaded: the first sentence states the purpose, and each subsequent sentence adds one essential fact (fees, review/refund, payment return). No filler or repeated schema information.

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

Completeness5/5

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

Despite having no output schema or annotations, the description provides all critical operational context: cost model, review process, refund policy, and return behavior. Together with the fully described parameters, this is complete enough for an agent to invoke the tool correctly.

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

Parameters4/5

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

All five parameters are fully described in the schema, giving a baseline of 3. The description adds extra semantics for proposed_path (fee scales with path depth) and spt_token (settles immediately instead of returning a checkout_url), which goes beyond the schema and justifies a higher score.

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 ('Propose a new category') and the resource ('taxonomy node for the catalog'). It distinguishes this creation tool from sibling listing tools like list_categories and list_my_category_proposals by emphasizing the proposal/payment/review flow.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives contextual guidance: this is a paid action with operator review and no refund, which implies it is for creating new categories rather than listing existing ones. However, it does not explicitly name alternatives or state when not to use it, so it stops short of full exclusions.

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.

Resources