Skip to main content
Glama

NeuralVerge Business Intelligence

Vinted user feedbacks

run_vinted_users_feedbacks

Feedback (reviews) a Vinted member has received: text, rating, reviewer, the seller's reply and date. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYesUser ID or profile URL. e.g. 103792107 or https://www.vinted.de/member/103792107-katieronja
domainNoDomain. Options: vinted.de = vinted.de, vinted.fr = vinted.fr, vinted.es = vinted.es, vinted.it = vinted.it, vinted.nl = vinted.nl, vinted.pl = vinted.pl, vinted.co.uk = vinted.co.uk Default: vinted.de.
max_itemsNoMax items (up to 500) Default: 25.
start_pageNoStarting page Default: 1.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the return shape (text, rating, reviewer, reply, date) and the cost model ('1 point per returned record'), which is genuine value. However, it says nothing about permissions, rate limits, or pagination semantics beyond what the schema implies.

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 compact sentences, front-loaded with the resource identity followed by the cost note. Nothing is redundant, though the field enumeration is somewhat list-like rather than explaining significance.

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 read-only fetch tool with no output schema, listing the returned fields and the point cost gives the agent enough to call it and anticipate results. The absence of pagination/return-format commentary is a minor gap given the schema covers paging parameters.

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%, so the schema already documents user, domain, max_items and start_page with examples and defaults. The description adds no parameter-level detail, which is the expected baseline when the schema does the heavy lifting.

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?

The description names the resource (a Vinted member's received feedback) and enumerates the returned fields, so the agent can tell it apart from run_vinted_users and run_vinted_users_items. It does not state the verb explicitly, but 'Feedback (reviews) a Vinted member has received' makes the retrieval intent unambiguous.

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 (e.g. run_vinted_users_items for listings), and no prerequisites such as needing a valid member ID. The agent must infer usage entirely from the name and schema.

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