pipehero
Server Details
Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.8/5 across 4 of 4 tools scored.
Each tool addresses a distinct operation: retrieving a request, listing requests, listing tunnels, and replaying a request. No two tools overlap in purpose.
All tool names follow a consistent verb_noun pattern in snake_case: get_request, list_requests, list_tunnels, replay_request. No mixing of styles.
Four tools is an appropriate number for a focused webhook tunnel debugging server. Each tool earns its place without being excessive or insufficient.
The set covers the core workflow (list tunnels, list requests, view details, replay). Minor gaps like deleting a captured request or stopping a replay are absent but not critical.
Available Tools
4 toolsget_requestARead-onlyInspect
Get the full request and response (headers + body) of one captured webhook by id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| subdomain | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is clear. Description adds no extra behavioral context (e.g., rate limits, error handling). Meets baseline but adds no value beyond annotations.
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?
Single sentence, 15 words, front-loaded with the action and result. 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?
Given the tool's simplicity (2 params, no output schema), the description covers the basic purpose. Minor gap: does not specify the output format (headers+body representation). Nearly 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?
Schema description coverage is 0%, so description must compensate. It says 'by id' but does not explain what 'id' represents (request ID?) or 'subdomain'. No parameter details provided, leaving ambiguity.
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 specifies a clear action ('Get'), the resource ('full request and response of one captured webhook'), and the identifier ('by id'). It distinguishes from siblings like list_requests or replay_request.
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 guidance on when to use this tool vs alternatives. Does not mention when not to use or refer to sibling tools like list_requests for multiple items.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_requestsARead-onlyInspect
List recent webhooks/requests captured for a tunnel. Returns id, method, path, status and bodies.
| Name | Required | Description | Default |
|---|---|---|---|
| subdomain | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only and non-destructive behavior. The description adds context about return fields and 'recent' requests but does not fully define recency limits or potential pagination. No contradictions with annotations.
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 conveys the core purpose and return fields without any filler. It is efficient and well-structured.
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 tool's simplicity (one parameter, no output schema), the description provides essential information but lacks details on ordering, limits, or definition of 'recent.' Adequate but not comprehensive.
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 0%, so the description must compensate. It mentions 'for a tunnel' but does not explain the subdomain parameter beyond its type. The agent might infer its purpose, but explicit semantics are missing.
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 'List recent webhooks/requests captured for a tunnel' and specifies returned fields (id, method, path, status, bodies). This distinguishes it from siblings like get_request (single request) and list_tunnels (all tunnels).
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 the tool should be used to view captured requests for a tunnel, but does not explicitly specify when to use it over alternatives like get_request or replay_request. No guidance on context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_tunnelsARead-onlyInspect
List the user's Pipehero tunnels and whether each is currently online.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true and destructiveHint=false. The description adds that it lists tunnels and shows online status, providing behavioral context beyond annotations. No contradictions.
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, clear sentence that is front-loaded and contains no unnecessary words. Every part adds value.
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 tool's simplicity (zero parameters, no output schema), the description is complete. It tells the user exactly what the tool does and what information it returns.
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 input schema has no parameters, so the description cannot add parameter semantics. Baseline score of 4 is appropriate as the description is not required to cover missing parameters.
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 'List' and identifies the resource 'user's Pipehero tunnels' and adds detail about online status. It clearly distinguishes from sibling tools which are about requests, not tunnels.
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 when to use the tool (to list tunnels and see online status) but does not explicitly state when not to use it or mention alternatives. However, sibling differentiation provides context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
replay_requestADestructiveInspect
Replay a captured webhook to the user's localhost (the tunnel CLI must be running).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| subdomain | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate destructiveHint=true and readOnlyHint=false. The description adds that the tunnel must be running, but does not elaborate on the destructive behavior (e.g., whether the webhook is consumed). Some value, but limited beyond annotations.
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?
Single sentence with no wasted words. The essential information is 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?
Despite low complexity (2 parameters, no output schema), the description fails to explain the parameters or side effects, leaving gaps for an agent to correctly invoke the tool.
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%, but the description adds no information about the required parameters 'id' and 'subdomain'. An agent cannot infer their meaning from the description alone.
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?
Description clearly states the action ('Replay'), the resource ('captured webhook'), and the target ('user's localhost'), distinguishing it from siblings like get_request (retrieval) and list_requests (listing).
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?
Includes a clear prerequisite ('tunnel CLI must be running'), providing context for when the tool can be used. However, it lacks explicit guidance on when to use versus alternatives or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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