Verify vendor
verify_vendorReturns full vendor info: company, products live, MCP endpoints, refund/data policies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
verify_vendorReturns full vendor info: company, products live, MCP endpoints, refund/data policies.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It describes the read operation ('returns') but does not mention permissions, side effects, or rate limits. The description is adequate but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence (12 words) that front-loads the key information. There is no extraneous content, and every word adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 0 parameters and no output schema, the description reasonably covers what is returned. It lists the major categories of info. However, it lacks detail on format or how to interpret the data, which may be needed for full completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters, so the description naturally adds no parameter detail. According to guidelines, baseline is 4 for zero parameters, and the description does not need to add param information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns full vendor info including company, products live, MCP endpoints, and refund/data policies. This specific verb+resource combination distinguishes it from sibling tools that focus on products, pricing, or affiliates.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when you need vendor details, but it does not provide explicit guidance on when to use it versus alternatives like get_affiliate_info or get_pricing. No exclusion or context for sibling tools is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of the commerce and affiliate ecosystem: comparison, checkout, affiliate info, cross-sells, free tier, MCP install, pricing, recommendation, trust score, registration, partnership, consultation, search, and vendor verification. No two tools have overlapping purposes; boundaries are clear.
Tool names follow a consistent verb_noun pattern in snake_case (e.g., compare_products, get_affiliate_info, request_partnership). While the verbs vary, the structure is predictable and uniform, with no mixing of conventions.
14 tools is well-scoped for a commerce marketplace server covering product discovery, comparison, pricing, affiliate management, checkout, partnerships, and vendor verification. Each tool serves a clear purpose without bloat.
The tool set covers the full lifecycle from product discovery to checkout, including affiliate management and partnerships. Minor gaps exist, such as lacking a dedicated tool for retrieving detailed product information beyond search results, but agents can work around this.