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BugSnag: Get Event Details From Dashboard URL

bugsnag_get_event_details_from_dashboard_url
Read-onlyIdempotent

Extract complete event details, including stack trace and metadata, from a BugSnag dashboard URL for quick troubleshooting.

Instructions

Get detailed information about a specific event using its dashboard URL

Toolset: Events

Parameters:

  • link (string) required: Full URL to the event details page in the BugSnag dashboard (web interface), containing project slug and event_id parameter.

Use Cases: 1. Get event details when given a dashboard URL from a user or notification 2. Extract event information from shared links or browser URLs 3. Quick lookup of event details without needing separate project and event IDs

Examples:

  1. Get event details from a dashboard URL

{
  "link": "https://app.bugsnag.com/my-org/my-project/errors/6863e2af8c857c0a5023b411?event_id=6863e2af012caf1d5c320000"
}

Expected Output: JSON object with complete event details including stack trace, metadata, and context

Hints: 1. The URL must contain both project slug in the path and event_id in query parameters 2. This is useful when users share BugSnag dashboard URLs and you need to extract the event data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linkYesFull URL to the event details page in the BugSnag dashboard (web interface), containing project slug and event_id parameter.
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds the URL structure requirement and mentions 'extract event information', but doesn't add significant behavioral context 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections (parameters, use cases, examples, hints) and is concise despite multiple sections. Some redundancy exists (parameter description repeated), but overall it's clear and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description mentions expected output includes stack trace, metadata, and context. It covers use cases and hints for URL requirements. Sibling tools exist but this tool's unique usage via dashboard URL is well covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage for the single parameter 'link' with description. The description repeats the parameter info and provides an example, but does not add new semantic meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool gets event details using a dashboard URL. It distinguishes from sibling tools like bugsnag_get_event which likely use direct event IDs. The title and toolset section reinforce the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Use Cases' section lists three specific scenarios: from dashboard URL, shared links, and quick lookup. Hints clarify the URL must contain project slug and event_id. No explicit when-not-to-use, but the context is clear.

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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