WebhookTest.net

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already mark the tool as destructive, so the description adds value by emphasizing 'Permanently delete' and requiring confirm=true, which clarifies the irreversible nature. This goes beyond the structured annotations without contradicting them.

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 short sentences, front-loaded with the action and effect. Every word adds value; no filler or redundant information. It is highly concise 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 presence of an output schema and annotations, the description adequately covers the core behavior (permanent deletion, confirm flag). It does not mention permissions or edge cases, but for a destructive clear operation with structured data present, it is sufficiently 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 50% (only confirm is described). The description reinforces the confirm parameter's behavior ('Requires confirm=true') but does not clarify bucket_id. It partially compensates for the missing schema description but leaves one parameter without additional context.

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 ('delete') and resource ('every capture in a bucket'), clearly distinguishing it from sibling tools like delete_webhook_bucket. It also states the requirement of confirm=true, adding precise scope.

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 usage for clearing all captures in a bucket but does not explicitly state when to use this tool versus alternatives like delete_webhook_bucket. There is no exclusion or alternative guidance, so it remains at implied usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations include idempotentHint=false, which the description aligns with (configuration implies state change). The description adds useful constraints not in annotations: the delay cap of 10 seconds and that only 'safe' response headers are allowed. It correctly omits 'up to 10 seconds' being misleading since the schema already encodes the 0-10000ms range.

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 well-structured sentence that front-loads the purpose and enumerates all configurable attributes in one breath. Zero wasted words; every element conveys meaning about what the tool does.

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 this tool has an output schema to explain return values, and annotations clarify it is non-read-only and non-idempotent, the description covers the primary behavioral contract well. The main gap is that the description does not mention required bucket_id context or note the scheduling/immediate-return nature, but the output schema and annotations fill most of the remaining space.

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 only 33%, so the description partially compensates by enumerating the key fields (status, content type, body, headers, delay) that map to the parameters. However, it does not clarify the body format (string is self-evident) or how delay_ms relates to the 10-second cap. The description adds field-level context that the schema lacks for some parameters, though headers and delay_ms already have schema descriptions.

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 ('Set') with a clear resource ('the webhook endpoint') and enumerates exactly what aspects can be configured: status, content type, body, safe response headers, and delay. This clearly differentiates it from sibling tools which handle creation, deletion, listing, and waiting operations.

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 for configuring the response returned by an existing webhook endpoint, which provides some usage context. However, it does not explicitly state when to use this vs alternatives, nor does it mention any prerequisites (e.g., that a bucket/webhook must exist first) or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the sparse annotations (all false), the description discloses key behavioral traits: anonymity, temporariness, a bearer capability ID, and expiry after 15 days of inactivity. This adds important security and lifecycle context that annotations do not provide.

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-loads the purpose, and includes essential behavioral notes (bearer capability, expiry) without unnecessary elaboration. Every sentence 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?

For a simple creation tool with one optional parameter and an output schema, the description fully covers purpose, identity of the returned ID, and lifecycle. The output schema handles return value details, so no critical information is missing.

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, 'name', is fully documented in the schema with 'optional display name for the bucket'. The description adds no additional meaning beyond the schema, so the baseline score of 3 applies due to high schema coverage.

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 starts with 'Create an anonymous temporary webhook capture bucket,' which is a specific verb and resource. It clearly distinguishes from sibling tools like delete_webhook_bucket, list_webhooks, etc., by indicating creation of a temporary capture bucket.

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 it clear the tool is for creating a bucket to capture webhooks, providing context for when it would be used. It does not explicitly mention exclusions or alternatives, but the unambiguous create action and detailed resource type give sufficient guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, but the description adds context by stating 'Permanently delete' and 'all of its captures', which clarifies the irreversibility and scope. It also reinforces the confirm=true requirement, which is useful beyond the annotation.

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 is front-loaded with the core action and includes the key requirement (confirm=true). No wasted 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 simplicity of the operation and the presence of an output schema and annotations, the description covers the essential behavior. It could mention potential failure modes or prerequisites, but for a straightforward delete tool it is sufficiently 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 coverage is 50% (confirm has a description, bucket_id does not). The description adds meaning for confirm by stating 'Requires confirm=true', but it does not explain bucket_id. This partially compensates for the missing schema description but leaves one parameter underexplained.

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 (delete), the resource (bucket), and the scope (all captures), which distinguishes it from sibling tools like create_webhook_bucket or list_webhooks. The verb 'delete' is specific and unambiguous.

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 mention when to use this tool versus alternatives like clear_webhooks. However, the purpose is clear enough that an agent can infer this is for permanent deletion, but no exclusions or alternative guidance are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses that sensitive headers and query values are redacted by default, which adds behavioral context beyond the readOnlyHint annotation. It does not mention that include_sensitive can override this, but the schema covers that. No contradiction 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 two short sentences, front-loading the main action and adding a critical redaction detail. Every word earns its place; no redundancy.

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 read-only single-get tool with an output schema, the description covers the essential purpose and a notable behavior (redaction). It omits details like the max_body_bytes limit or how to request sensitive values, but those are in the schema, so the description is sufficiently complete for an agent to select and 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?

The schema provides descriptions for max_body_bytes and include_sensitive (50% coverage). The description adds context that the webhook is 'scoped to its bucket,' helping clarify bucket_id, but webhook_id remains undocumented in both description and schema. It does not compensate fully for the missing required 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 uses the verb 'Read' with a clear object: 'one webhook capture scoped to its bucket.' It distinguishes from sibling tools like list_webhooks by indicating single-item retrieval and mentions the redaction behavior, making the purpose explicit.

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 reading a specific webhook capture within a bucket, but it does not explicitly contrast it with alternatives like list_webhooks or wait_for_webhook, nor does it state when to use one over the other. The usage context is somewhat obvious from the verb, but no explicit guidance or exclusions are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide readOnlyHint=true, so the agent knows this is a safe read. The description adds a small detail (returns bucket name and HTTP response settings) but doesn't describe the response format, whether it returns all settings or a subset, or whether the bucket must exist. With readOnlyHint present, the bar is lower, and the description adds modest context.

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 zero wasted words. It clearly communicates the action and what is 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?

With an output schema present, annotations declaring read-only safety, and 100% schema parameter coverage, the tool is well-covered. The description supplements by naming what is read (bucket name + HTTP response settings). For a simple single-parameter read tool, this is reasonably complete, though it could clarify what the 'HTTP response settings' encompass.

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% ('bucket capability ID' documents bucket_id fully). With 100% coverage and only 1 simple parameter, the baseline 3 applies. The description adds essentially no param-specific detail beyond what the schema provides.

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 'Read a bucket name and its configured HTTP response settings' with a specific verb (Read) and resource (bucket), clearly distinguishing it from siblings like create/delete/configure_webhook_response. It doesn't fully differentiate from get_webhook (which may be a related but distinct resource), but the purpose is clear.

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 it's a read operation for a single bucket identified by bucket_id, which gives a sense of when to use it. However, it doesn't explicitly mention alternatives (e.g., list_webhooks for enumeration or clear_webhooks for a different action), nor any prerequisites or context about when this tool is preferred over get_webhook.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already mark readOnlyHint=true, and the description adds value by specifying newest-first ordering and cursor pagination behavior. It also calls out 'summaries', implying the payload differs from full webhook details, which is useful context beyond metadata.

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 key action and adds relevant details about ordering and pagination without any fluff.

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 presence of an output schema and annotations, the description adequately covers the tool's purpose, ordering, and pagination. It could mention use cases relative to siblings but is sufficiently complete for a list operation.

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 67% (limit and cursor have descriptions, bucket_id does not). The tool description does not further explain bucket_id or add semantics beyond the schema's existing descriptions, so it does not significantly compensate for the 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 clearly states the verb 'List' and the resource 'webhook capture summaries', with ordering (newest-first) and pagination method. This distinguishes it from siblings like get_webhook (single webhook) and clear_webhooks (clearing captures).

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 indicates this is for listing summaries, but it does not explicitly mention alternatives or exclusion cases. Sibling tools like get_webhook could be used for individual details, but the description does not point to this, leaving some ambiguity about when to use which.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotation readOnlyHint=true already establishes safety, and the description adds valuable behavioral context about blocking until a newer capture arrives and reporting received=false after timeout. This extra detail about the polling behavior goes beyond the annotation.

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, dense sentence that front-loads the core behavior and contains no filler or redundant information. It is concise 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?

The description sufficiently covers the main execution flow (return latest, wait for newer, or false after timeout) and is complemented by an output schema. It does not elaborate on all parameter interactions, but the core behavior is clear enough for a waiting 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 only 40%, and the tool description provides no additional parameter explanations. Fields like max_body_bytes and include_sensitive are left undescribed, while wait_seconds and after_webhook_id rely solely on their schema descriptions.

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 tool's behavior: returning the latest capture, waiting for a newer capture, or reporting received=false after timeout. This distinctively separates it from sibling tools focused on managing buckets or retrieving individual webhooks.

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 usage for waiting on webhook captures, but it does not explicitly state when to use this tool versus alternatives like get_webhook or list_webhooks. No when-not-to-use conditions or prerequisites are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.