marketplace
Server Details
Resale prices (INR) for 600+ used products in India, plus live Bids44 marketplace search.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
3 toolsget_listingGet Bids44 listingAInspect
Get public details of one Bids44 listing by its id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states 'Get public details', which suggests a read-only, non-destructive operation. However, it does not explicitly confirm idempotency, rate limits, or authorization requirements, leaving some ambiguity.
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 sentence that effectively communicates the core purpose. It is concise but might be overly terse; however, for a simple tool with one parameter, this level of conciseness is appropriate and does not waste words.
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 low complexity (one parameter, no output schema), the description provides basic information. However, it omits details about what 'public details' include (e.g., title, price, description), and does not reference sibling tools or output expectations, leaving some gaps.
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?
With 0% schema description coverage, the description must explain the parameter. It merely says 'by its id' without clarifying what the id represents (e.g., listing ID number, text identifier) or its format. This adds little beyond the schema's type and minLength.
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 verb 'Get', the resource 'listing', and the scope 'public details', with a specific identifier 'by its id'. This distinguishes it from siblings like 'search_listings' (which searches) and 'get_resale_price' (which gets a specific price).
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 that the tool is used when you have a listing id, but does not explicitly state when to use it versus the siblings. No exclusions or alternatives are mentioned, leaving the agent to infer usage context from the tool names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_resale_priceGet resale priceBInspect
Get the India resale value range (₹) for a used product from Bids44's price data. Input: product name, optional condition.
| Name | Required | Description | Default |
|---|---|---|---|
| product | Yes | ||
| condition | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits. The description only indicates that it retrieves a range and mentions the data source, but it does not explain the response format, whether the data is cached or real-time, any authentication requirements, or rate limits. This lack of transparency leaves the agent guessing about important behavioral aspects.
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 concise with two sentences that front-load the purpose. Every sentence adds value, though it could be slightly more structured (e.g., bullet points for parameters).
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?
Despite the tool's simplicity (2 params, no output schema, no annotations), the description fails to explain the return value (e.g., min/max, currency symbol, or example). An agent cannot confidently predict the output format, which is a significant gap.
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 description coverage is 0%, meaning the description adds minimal meaning beyond the schema. The description states that the required parameter is a product name and the optional parameter is condition, but it does not elaborate on valid values, examples, or semantics. For a tool with two parameters, more detail is needed to compensate.
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 retrieves an India resale value range for a used product from Bids44's price data. It specifies the verb 'Get', the resource 'resale value range', and the scope (India, used, from Bids44). This distinguishes it from sibling tools like get_listing or search_listings, which likely serve different purposes.
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 mentions 'Input: product name, optional condition', which gives some guidance on how to use the tool. However, it does not provide explicit when-to-use or when-not-to-use instructions, nor does it compare with sibling tools to help the agent choose between them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_listingsSearch Bids44 listingsBInspect
Search live Bids44 marketplace listings. Input: query + optional category, city, maxPrice. Returns up to 10 listings with title, price, city, condition, and URL.
| Name | Required | Description | Default |
|---|---|---|---|
| city | No | ||
| query | Yes | ||
| category | No | ||
| maxPrice | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the tool is read-only ('Search'), returns up to 10 results, and lists output fields. However, no mention is made of ordering, pagination, or potential behaviors like partial matches.
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 two sentences, front-loading the purpose and immediately following with input/output summary. Every sentence is necessary and no extraneous content.
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?
For a simple search tool with no output schema, the description covers the main purpose, inputs, output fields, and result limit. Missing aspects like sorting or pagination are minor given the tool's straightforward nature.
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 description coverage is 0%, so the description adds value by listing the parameters (query, category, city, maxPrice) and indicating that query is required. It does not provide detailed semantics or examples beyond the schema property names.
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 searches live Bids44 marketplace listings, specifying that it returns a list of up to 10 items with given fields. It implicitly distinguishes from sibling tools like 'get_listing' (single listing) via the plural 'listings' and search verb, but does not explicitly differentiate.
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?
No explicit guidance is provided on when to use this tool versus alternatives like 'get_listing' or 'get_resale_price'. The description only implies its use for searching listings, lacking when-not or exclusion cues.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
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
The URL of the server is wrong
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.
Discussions
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool has a distinct purpose: retrieving a specific listing by ID, getting a resale price for a product, and searching listings. There is no overlap or ambiguity.
All tool names follow a consistent verb_noun pattern with snake_case (get_listing, get_resale_price, search_listings). No mix of conventions.
3 tools is slightly below average but still reasonable for a read-only marketplace server focusing on search, detail, and price lookup. It does not feel too sparse given the narrow scope.
The tool set covers only read operations (search, get detail, get price). It lacks any ability to create, update, or delete listings, which are core marketplace operations. This is a significant gap if the server aims to support full marketplace interactions.