Vendor Legit Check
Server Details
Screen a vendor, store, or group-buy for legitimacy: reputation, red flags, Reddit sentiment.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.2/5 across 1 of 1 tools scored.
Only one tool exists, so there is no possibility of confusion with other tools.
Single tool name 'vendor_legit_check' follows a clear verb_noun pattern, consistent within itself.
One tool is borderline thin for a server; while it packs multiple functions, the count is at the low end of reasonable.
The tool covers the core need of screening vendors with reputation, red flags, and sentiment. Minor gaps (e.g., no follow-up actions) but complete for a single-purpose check.
Available Tools
1 toolvendor_legit_checkAInspect
Screen a vendor, store, or group-buy (by name or URL) for legitimacy before paying. Returns a reputation read, a red-flag checklist (e.g. no MOQ disclosed, brand-new vendor), and Reddit community sentiment. Use this to assess scam/non-delivery risk for a hobby/collectibles purchase or group buy.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Vendor, store, or group-buy name or URL, e.g. 'novelkeys' or a Kickstarter link. | |
| No | Include live Reddit sentiment (default true). Set false for a faster, lighter check. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It indicates this is a read-only screening operation (returns data, no mutation implied). It discloses that the 'reddit' parameter controls inclusion of live sentiment for speed/size trade-off. However, it does not mention rate limits, idempotency, or any potential side effects, which would be expected for a 5. The description adds moderate value beyond 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description consists of two sentences, both dense with information. The first sentence covers action, inputs, and outputs. The second provides the use case. No redundancy or unnecessary words. Perfect front-loading.
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 no output schema, the description adequately explains the return values: reputation read, red-flag checklist, and Reddit sentiment. It covers parameters and use case. It lacks detail on return format or structure, which would be needed for a 5, but for a screening tool the information is sufficient for an AI agent to decide on invocation.
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?
Schema coverage is 100%, so the baseline is 3. The description adds context for both parameters: 'query' is tied to 'name or URL', and 'reddit' is explained as 'include live Reddit sentiment' with a speed trade-off (set false for faster, lighter check). This provides usage nuance beyond the schema's literal descriptions.
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 uses the specific verb 'Screen' and identifies the resource as 'vendor, store, or group-buy'. It clarifies inputs (name or URL) and outputs (reputation read, red-flag checklist, Reddit sentiment). The use case is explicitly tied to pre-payment legitimacy assessment for hobby/collectibles purchases, making the purpose highly distinct and actionable.
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 states 'Use this to assess scam/non-delivery risk' and implies usage before paying. It does not explicitly mention when not to use or provide alternatives, but since no sibling tools exist, the context is sufficient. The guidance is clear and practical, earning a 4.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
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Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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