FluxProof
Server Details
Evidence-bearing public webpage monitoring with hashes, diffs, signed webhooks, REST, and MCP.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- equinoxaifinance-rgb/fluxproof-agent-card
- GitHub Stars
- 0
TDQS
Each tool appears to target a distinct action (check, create, list, offer, preflight), but the descriptions are somewhat ambiguous, especially 'offer' which mentions boundaries and purchase routes, making its purpose less clear.
The naming pattern is mostly consistent with the 'fluxproof_verb_noun' style (check_now, create_monitor, list_changes, preflight), but 'offer' deviates by having no explicit noun, breaking the uniform pattern slightly.
With 5 tools, the set is well-sized for a focused service, neither too sparse nor too bloated, and each tool serves a reasonable purpose within the apparent domain.
The set covers core monitoring actions (create, check, list) but lacks update/delete operations for monitors, and the inclusion of 'offer' seems tangential, leaving potential gaps in a full CRUD lifecycle.
Available Tools
5 toolsfluxproof_check_nowCInspect
Run a monitor now and return a source- and hash-bound change receipt.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes | ||
| monitor_id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations describing side effects, permissions, or idempotency. The phrase 'change receipt' hints that running the monitor may produce changes, but the tool's own effects on system state are not disclosed. The description does not state whether the operation is safe, reversible, or read-only.
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 and is front-loaded with the primary action. It contains no redundant filler, though the phrase 'source- and hash-bound change receipt' adds jargon that may reduce immediate clarity. Overall, it is appropriately concise.
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 tool lacks an output schema, parameter descriptions, and any mention of error conditions or return format. The description's promise of a 'change receipt' is not elaborated, so the agent cannot predict the exact response or failure modes. This is not enough context for reliable 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?
The schema provides no descriptions for api_key or monitor_id, and the tool description only mentions 'a monitor' without explaining either parameter. There is no information about required formats, value constraints, or how the api_key should be supplied. With 0% schema description coverage, the description fails to clarify parameter semantics.
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 action ('run a monitor now') and the return value ('a source- and hash-bound change receipt'). It distinguishes the tool from siblings by focusing on immediate execution rather than creation, listing, offering, or preflight. Some jargon like 'source- and hash-bound' slightly obscures the purpose.
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 no explicit guidance on when to use this tool versus sibling tools such as fluxproof_create_monitor or fluxproof_list_changes. It does not explain whether this is for on-demand execution only or how it relates to preflight. The agent must infer the intended usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fluxproof_create_monitorCInspect
Create a monitor using a buyer-owned FluxProof API key.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| label | No | ||
| api_key | Yes | ||
| watch_terms | No | ||
| webhook_url | No | ||
| interval_minutes | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral disclosure, but it only says 'create a monitor using a buyer-owned API key.' It does not explain side effects, return values, or preconditions.
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 concise sentence with no redundant words. It is well-structured and easy to read.
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 lacks essential details about the monitor's purpose, parameter meanings, expected outputs, and failure modes, making it insufficient for an agent to invoke correctly without external knowledge.
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 schema lists six parameters with no descriptions, and the tool description only references the api_key parameter. No meaning is added for url, label, watch_terms, webhook_url, or interval_minutes.
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 action (create) and object (monitor), and mentions the buyer-owned API key context. It is distinct from sibling tools like check_now and list_changes which perform different actions.
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 information is provided about when to use this tool versus alternatives. The description is purely functional and lacks any situational context or explicit guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fluxproof_list_changesCInspect
List recent evidence receipts for a monitor.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| api_key | Yes | ||
| monitor_id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of disclosing side effects and safety. It implies a read-only operation via 'List' but does not explicitly state whether it is side-effect-free, what authentication is required, or any potential rate limits or errors.
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, concise sentence that directly states the tool's purpose without extraneous words or redundant information. It is efficiently structured and 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?
Given the lack of parameter descriptions, no output schema, and no annotation context, the description is incomplete for an agent to fully understand how to call the tool, what to expect in return, or how to handle edge cases. It provides only a high-level summary.
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 schema provides no descriptions for the three parameters (limit, api_key, monitor_id), and the tool description only implicitly references monitor_id ('for a monitor'). None of the parameters' meaning, constraints, or formatting are explained, leaving the agent without essential usage details.
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 action ('List'), the resource ('evidence receipts'), and the scope ('for a monitor'), making the tool's purpose specific and understandable. It does not explicitly differentiate from sibling tools, but the action and resource are distinct enough to infer its role.
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 provides no guidance on when to use this tool versus the sibling tools (e.g., check_now, create_monitor, offer, preflight). There is no mention of conditions, alternatives, or scenarios where this tool is preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fluxproof_offerCInspect
Return free and paid boundaries and purchase routes without charging.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only states 'without charging,' which hints at a non-billing operation but does not clarify if it's read-only, what side effects exist, or what the response structure is. This is insufficient for an agent to predict the tool's behavior.
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 concise sentence that front-loads the action. It contains no redundant words and is easy to scan. It earns a high score for economy.
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 lack of an output schema and annotations, the description should explain what the returned boundaries and purchase routes look like or what they represent. It does not, leaving an agent uncertain about how to use the result. The tool is simple (no params) but the description still feels incomplete.
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 is empty and the baseline for this dimension is 4. The description correctly avoids inventing parameters and adds no param information, which is appropriate. There is no gap to compensate for.
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 a specific verb 'Return' and names a resource ('free and paid boundaries and purchase routes'), so it is not a tautology. However, 'boundaries' and 'purchase routes' are ambiguous and the description does not differentiate it from siblings like fluxproof_preflight or fluxproof_check_now. The purpose is somewhat clear but lacks precision.
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 no indication of when to use this tool versus any of its siblings. There is no mention of context, preconditions, or alternative tools, leaving the agent to guess. Even a simple tool should state whether it's for pricing info, plan limits, or purchase flows.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fluxproof_preflightAInspect
Fetch a public URL and return fetchability, size, final URL, title, and content hash without page content or payment.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior. It transparently lists what is returned and explicitly states that page content is not fetched and no payment is made. However, it does not mention potential side effects, errors, or network behavior, so a small gap remains.
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 concise sentence that packs the action, output list, and constraints without unnecessary words. It is well-structured and immediately comprehensible.
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 there is no output schema, the description usefully enumerates the returned fields (fetchability, size, final URL, title, content hash). It omits details about error conditions or status codes, but for a simple preflight tool the listed information is reasonably complete.
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 only parameter, 'url', has no schema description, but the tool description clarifies that it must be a 'public URL'. This provides the essential meaning and constraint for the parameter, though it lacks additional details like expected URL formats or examples.
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 specifies the action ('Fetch a public URL') and the exact outputs returned (fetchability, size, final URL, title, content hash). It also states constraints ('without page content or payment'), making the tool's purpose unambiguous and distinct from typical fetch or monitoring tools.
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 does not explicitly state when to use this tool versus the sibling tools like check_now, create_monitor, or offer. It implies preflight usage by listing fetchability and excluding payment, but it lacks direct guidance on the appropriate context or relative ordering.
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. Dates show when Glama detected each change.
5 tool updates
- First observed
fluxproof_check_now - First observed
fluxproof_create_monitor - First observed
fluxproof_list_changes - First observed
fluxproof_offer - First observed
fluxproof_preflight
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, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.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
No comments yet. Be the first to start the discussion!
Related MCP Connectors
AI-powered website change monitoring - manage monitors and alerts via MCP.
Deterministic public-web change observation with evidence-bound commercial interpretation.
Site & competitor monitoring: snapshots, evidence-backed diffs, briefs, price checks, mentions.
EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAPI-first website change detection with native MCP supportMIT
- AlicenseNot gradedqualityDmaintenanceEnables tracking web page changes, detecting content modifications with structured diffs and snapshot history through MCP tools.MIT
- FlicenseNot gradedqualityBmaintenanceAn MCP server that enables deterministic observation of public web pages and commercial interpretation of changes, with credential-gated access and honest accounting.13-
- AlicenseNot gradedqualityDmaintenanceMonitor any website and get AI-enriched change intelligence via MCP. Manage sources, search changes, and automate web monitoring from Claude, Harvey, or any MCP client.54MIT