BidGlow
Server Details
Publish approved free website listings and prepare read-only bid quotes. No payment tool.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: capabilities is read-only metadata, publish_free creates a listing after approval, and quote is a read-only price inquiry. No overlap or ambiguity between them.
All names are lowercase and concise, but 'publish_free' follows a verb_noun pattern while 'capabilities' and 'quote' are single nouns. Minor inconsistency, but still predictable.
With 3 tools, the server is lean but focused. It covers essential actions for a free listing workflow without unnecessary bloat, though it might feel sparse for a broader marketplace.
The domain appears to be publishing free listings with pre-purchase quotes. It covers reading capabilities, getting a quote, and publishing, but lacks update/delete operations. Given the 'free' and 'one-time' nature, this may be intentional, so minor gaps only.
Available Tools
3 toolscapabilitiesARead-onlyInspect
Read current free offer, category IDs and payment boundaries.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the specific data returned (free offer, category IDs, payment boundaries), which is useful context beyond the annotations. It doesn't disclose pagination, rate limits, or other behavioral details, but for a zero-parameter read tool this is acceptable.
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?
A single, compact sentence that front-loads the verb and lists the exact data returned. No wasted words, and the structure is easy to parse.
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 zero-parameter, read-only tool with no output schema, the description is nearly complete. It tells the agent what data it will receive. The only minor gap is not describing the format or structure of the returned data, but with no output schema and no parameters, this is a minor omission.
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 tool has zero parameters, so the schema provides no parameter documentation. The description compensates by clearly stating what data the tool returns, which is the only semantic information an agent needs to invoke it correctly. Baseline 4 for zero-parameter tools is appropriate.
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 states a specific verb ('Read') and a clear resource ('current free offer, category IDs and payment boundaries'). It distinguishes itself from siblings like publish_free and quote by indicating a read-only informational operation, though it doesn't explicitly name those siblings.
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 this is the tool to use when you need current free offer, category IDs, or payment boundaries. It doesn't explicitly state when not to use it or mention alternatives, but the read-only nature and resource list provide adequate context for an agent to select it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
publish_freeAIdempotentInspect
Creates ONE real public free listing after explicit user approval. Save the supplied UUID and 32-byte secret securely BEFORE calling. Identical retries only. Response contains private reusable management credentials; never print them publicly. Does not charge money.
| Name | Required | Description | Default |
|---|---|---|---|
| category | Yes | ||
| destination | Yes | ||
| rulesVersion | Yes | ||
| userApproved | Yes | ||
| idempotencyKey | Yes | ||
| submissionSecret | Yes | ||
| credentialsSavedSecurely | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate idempotency and non-destructiveness, but the description adds substantial behavioral context: the need to save credentials BEFORE calling, 'Identical retries only,' the fact that the response contains private reusable management credentials that must not be printed, and the explicit statement that it 'Does not charge money.' These details go well beyond the structured annotations and materially change how an agent should handle the call and result.
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 dense and front-loaded: the core purpose appears in the first sentence, followed by concise operational warnings and clarifications. Every sentence earns its place, including the retry rule, credential-handling warning, and cost clarification. There is no filler or repetition of schema details.
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 complex 7-parameter mutating tool with no output schema, the description covers the most important operational concerns: prerequisites, retry behavior, side effects, and credential safety. It does not specify the exact response shape, but it explicitly warns that credentials are present in the response, which is the critical piece an agent needs. The remaining gaps are minor given the strong annotation coverage.
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 carries the burden of explaining parameters. It does so effectively for several critical fields: the 'supplied UUID' maps to idempotencyKey, the '32-byte secret' maps to submissionSecret, 'explicit user approval' maps to userApproved, and 'Save ... securely BEFORE calling' maps to credentialsSavedSecurely. The remaining parameters (destination, category, rulesVersion) are left to their self-explanatory names, which is a minor gap.
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 states a specific verb and resource: 'Creates ONE real public free listing after explicit user approval.' This clearly distinguishes it from the sibling tools capabilities and quote, which serve unrelated purposes. The emphasis on 'ONE real public free listing' removes ambiguity about scope and side effects.
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 gives clear context for when to invoke the tool: only after explicit user approval, and only after securely saving the UUID and secret. It also clarifies retry semantics with 'Identical retries only.' It does not explicitly name excluded scenarios or alternative tools, but the sibling distinction is obvious from the sibling names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
quoteARead-onlyInspect
Read-only optional bid quote. Creates no payment and reserves no rank.
| Name | Required | Description | Default |
|---|---|---|---|
| board | Yes | ||
| category | Yes | ||
| targetBid | Yes | ||
| destination | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and destructiveHint, but the description adds valuable behavioral context: it creates no payment and reserves no rank. This helps the agent understand the side-effect-free nature of the operation beyond the annotation flags.
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?
Two short sentences deliver the essential behavioral contract with no filler. The read-only and no-side-effect information is front-loaded and every word earns its place.
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?
The description covers side effects and read-only behavior well, and the schema covers constraints. However, with no output schema and no parameter descriptions, the tool is not fully self-contained for an agent deciding how to construct a valid quote request.
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 must compensate by explaining parameter meaning, but it does not. The schema provides names, constraints, and an enum, but the four required parameters are left semantically unexplained.
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 identifies a bid quote as a read-only, optional operation and explicitly distinguishes it from payment or rank reservation. This separates it from the sibling publish_free tool, which is the committed action.
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 this tool is for previewing a bid without committing, and the sibling publish_free suggests the alternative for actually publishing. However, it does not explicitly name the alternative or state when-not-to-use this tool, so it stops short of full guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- First observed
capabilities - First observed
publish_free - First observed
quote
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