FlowVolt
Server Details
Cold engine for B2B founders. Detects buying signals, drafts outreach, books qualified meetings.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
3 toolsaddAddAInspect
Adds two numbers and returns the sum.
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does state the core behavior: addition and returning a sum. It does not address edge cases or output shape, but for a pure arithmetic operation the main behavior is transparent.
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 eight-word sentence with no filler. The action and result are immediately front-loaded.
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 two-operand arithmetic tool, the description plus input schema cover what to pass and what to expect. It omits explicit return format and error behavior, but the simplicity of the operation makes those omissions minor.
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 has no per-parameter descriptions, and the description only says 'two numbers' without naming a and b or adding constraints. However, addition is commutative, so the missing role differentiation is not a practical issue.
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 phrase 'Adds two numbers and returns the sum' uses a specific verb and outcome. It clearly identifies the operation and is easily distinguishable from echo and server_time.
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?
There is no explicit when-to-use or alternatives statement. The intended use is implied by the description and tool name, but selection guidance is left to obviousness rather than being stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
echoEchoAInspect
Echoes the provided text back to the caller.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to echo back |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It accurately conveys that the tool returns the supplied text unchanged, which fully covers the relevant behavior for this trivial tool. It does not need to disclose side effects because the behavior itself implies none.
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 with no filler, front-loading the action immediately. Every word contributes to understanding the tool's purpose.
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 one-parameter tool with no output schema and no annotations, the description is complete. It states the operation, the input, and the result ('back to the caller'), leaving nothing material unknown to the agent.
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 100%, so the schema already fully documents the single 'text' parameter. The description adds no new parameter-meaning detail; it merely restates the concept, which earns the baseline score.
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 clear verb ('Echoes') and resource ('the provided text') and makes the tool's function immediately obvious. It does not explicitly differentiate from siblings, but the purpose is unambiguous enough that an agent would not confuse it with 'add' or 'server_time'.
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?
Usage is implied: an agent would use this when it needs to echo text back. However, the description gives no explicit guidance about when to choose this tool over alternatives or any exclusions, leaving the context entirely implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
server_timeServer timeAInspect
Returns the current server time (ISO 8601, UTC).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
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 discloses the return format (ISO 8601), the timezone basis (UTC), and the fact that the value is the current server time, which is sufficient given the tool's trivial 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 one short, front-loaded sentence with no filler. Every word adds meaning.
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 parameterless tool with no output schema, the description fully covers what an agent needs to know: the action, the result, the format, and the timezone.
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 imposes no documentation burden. The description adds no parameter-specific detail, but none is needed.
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 ('Returns') and resource ('current server time') plus format details (ISO 8601, UTC). This clearly distinguishes it from the sibling tools add and echo.
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 makes the tool's purpose explicit and implies it is used whenever the server's current time is needed. It does not explicitly mention when not to use it or name alternatives, but the sibling tools are unrelated to time retrieval.
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.
26 tool updates
- Added
add - Removed
book_meeting - Removed
calculate_payback - Removed
discover_business - Added
echo - Removed
edit_message - Removed
enqueue_lead - Removed
find_leads - Removed
flowvolt_freetrial - Removed
flowvolt_send_trial - Removed
get_funnel - Removed
get_pipeline - Removed
get_receipts - Removed
get_replies - Removed
get_started - Removed
get_subscription_status - Removed
list_meetings - Removed
manage_billing - Removed
pause_engine - Removed
preview_message - Removed
quote - Removed
resume_engine - Removed
search_people - Added
server_time - Removed
set_goal - Removed
subscribe
2 tool updates
- Added
flowvolt_freetrial - Added
flowvolt_send_trial
12 tool updates
- Added
calculate_payback - Added
discover_business - Added
edit_message - Changed
find_leads2 fields changed- changed
Input schema / properties / email / descriptionPrevious value: -"Optional. The user's work email — if provided on a free_trial call, we create a provisional tenant and mail them a follow-up. Without it, free_trial still works but no follow-up email."New value: +"Optional. The user's work email." - changed
Input schema / properties / quote_id / descriptionPrevious value: -"A quote_id returned by the quote() tool. Must be a free_trial or topup plan. Example: 'q_trial_abc12345'"New value: +"A quote_id returned by quote() or discover_business(). Must be free_trial or topup."
- Changed
get_started3 fields changed- added
Input schema / properties / companyAdded value: +{ + "description": "The user's business name if known. Optional.", + "type": "string" +} - removed
Input schema / properties / contextRemoved value: -{ - "description": "Anything the user mentioned about their company, role, or what they're trying to do. Example: 'I run a B2B SaaS in Holland selling to fintechs.' Optional but improves the response.", - "type": "string" -} - added
Input schema / properties / nameAdded value: +{ + "description": "The user's first name if known. Optional.", + "type": "string" +}
- Changed
get_subscription_status2 fields changed- changed
Input schema / properties / email / descriptionPrevious value: -"Optional. The email used at Stripe Checkout. Only needed if you're not authenticated with an MCP token."New value: +"Stripe Checkout email if not authenticated." - added
Input schema / properties / nameAdded value: +{ + "description": "User's first name if known.", + "type": "string" +}
- Changed
manage_billing2 fields changed- changed
Input schema / properties / email / descriptionPrevious value: -"Optional. The email used at Stripe Checkout. Only needed if you're not authenticated with an MCP token."New value: +"Stripe Checkout email if not authenticated." - added
Input schema / properties / nameAdded value: +{ + "description": "User's first name if known.", + "type": "string" +}
- Changed
pause_engine2 fields changed- changed
Input schema / properties / email / descriptionPrevious value: -"Optional. Stripe-Checkout email if not authenticated."New value: +"Stripe Checkout email if not authenticated." - added
Input schema / properties / nameAdded value: +{ + "description": "User's first name if known.", + "type": "string" +}
- Added
preview_message - Changed
quote3 fields changed- added
Input schema / properties / companyAdded value: +{ + "description": "Business name if known.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "User's first name if known.", + "type": "string" +} - changed
Input schema / properties / use_case / descriptionPrevious value: -"Natural language description of who the user wants to sell to. Example: 'I sell B2B AI tooling to Dutch fintech CFOs hiring their first sales lead. Find me 25 of them with the receipt of why they're in-market right now.'"New value: +"Natural language description of the customers the user wants to reach."
- Changed
resume_engine2 fields changed- changed
Input schema / properties / email / descriptionPrevious value: -"Optional. Stripe-Checkout email if not authenticated."New value: +"Stripe Checkout email if not authenticated." - added
Input schema / properties / nameAdded value: +{ + "description": "User's first name if known.", + "type": "string" +}
- Changed
subscribe1 field changed- changed
Input schema / properties / quote_id / descriptionPrevious value: -"A quote_id from quote() with plan=solo, pro, or scale. Example: 'q_pro_abc12345'"New value: +"A quote_id with plan=solo, pro, or scale."
4 tool updates
- Added
get_subscription_status - Added
manage_billing - Added
pause_engine - Added
resume_engine
1 tool update
- Added
subscribe
12 tool updates
- First observed
book_meeting - First observed
enqueue_lead - First observed
find_leads - First observed
get_funnel - First observed
get_pipeline - First observed
get_receipts - First observed
get_replies - First observed
get_started - First observed
list_meetings - First observed
quote - First observed
search_people - First observed
set_goal
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool performs a completely distinct function—numeric addition, text echoing, and time retrieval—with zero overlap in purpose. An agent would never confuse these tools.
add and echo are single-word verbs, while server_time is a noun phrase with an underscore, creating a slight inconsistency. The names are readable and lowercase, but the pattern is not uniformly maintained.
Three tools falls within the acceptable range, but the tools are so unrelated that the set feels like a random collection rather than a purposeful server. A more focused server would either have more tools around a coherent domain or make a clearer case for each tool.
There is no identifiable domain or workflow to assess coverage against; the tools are disconnected and provide only trivial operations. As a usable server for any real task, it offers almost no meaningful capability surface.