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Ask a question about a Resollo product

questions.ask

Submits a public question about a product listing on behalf of the authenticated caller -- exactly the same product_questions record the web 'Ask a question' form creates. The seller can answer it on the Resollo web UI (with their own AI-drafted-answer assistant); this tool does not draft or send an answer. Question text is capped at 500 characters. Requires an 'Authorization: Bearer ' header.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe public question text (1-500 characters).
product_idYesThe uuid of the product to ask about.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
answerYes
messageYes
created_atYes
product_idYes
answered_atYes
questioner_nameNo

Schema Changelog

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

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the annotations, the description discloses the side effect: a product_questions record identical to the web form is created on behalf of the authenticated caller. It also adds the required Authorization Bearer header and clarifies the tool's boundary—no drafting or sending an answer—which are meaningful behavioral facts not visible in the schema.

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?

Three sentences, each earning its place: what the tool does, what it does not do, and the auth requirement. The main action is front-loaded and there is no filler.

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?

For a two-parameter mutation with an output schema and clear annotations, the description covers the essential context: auth header, side effect, public nature, and tool boundaries. Nothing needed to call it correctly is missing.

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 100%: both product_id and question already have detailed descriptions, including the 500-character cap and UUID format. The description repeats the 500-character cap but adds no new parameter-level meaning, so the baseline of 3 applies.

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 names the verb ('Submits'), the resource ('public question about a product listing'), and the actor ('authenticated caller'), and ties it to the same record the web form creates. This clearly distinguishes it from siblings like questions.list, which is a read operation.

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?

It clearly establishes this tool is for asking, not answering: the seller answers on the Resollo web UI and this tool does not draft or send an answer. It does not explicitly name a sibling for the read workflow, but the context is clear enough that an agent knows when to use this tool.

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

A4.2/5.0
Disambiguation5/5

Each tool is cleanly grouped by resource (marketplace, offers, orders, products, questions, reviews, sellers) and within a group every action is distinct. There is no real overlap between e.g. orders.place, orders.checkoutLink, and orders.status, or between offers.make and offers.respond.

Naming Consistency4/5

Tool names follow a predictable resource.action pattern with lowercase verb-like second segments (offers.list, products.create, questions.ask). Minor deviations exist: orders.checkoutLink uses camelCase and sellers.listings is a noun rather than a verb, but the overall convention remains easy to infer.

Tool Count3/5

18 tools sits in the 16-25 borderline-heavy range. The marketplace scope is broad enough that most tools feel justified, but the count is slightly above the ideal well-scoped band and could be seen as heavy for a single API server.

Completeness3/5

The server covers core marketplace browsing, product draft creation, order placement, offers, questions, and reviews well. However, there are notable lifecycle gaps: products can be created but not updated/deleted/activated via API, orders have no dispatch/confirm/receive actions, and offers have no cancel action, with several operations pushed to the web UI.

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