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format_github_bug_report

Automates formatting of a GitHub bug report from a QuickCast session, with timestamped video links, environment tables, and failure points.

Instructions

Format an automated, high-fidelity GitHub/Jira bug reproduction issue markdown document with timestamped video links, environment tables, and failure points from a QuickCast session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoAdditional developer notes or context.
watch_urlNoOptional QuickCast video watch URL.
session_idNoOptional session ID. If omitted, uses latest recording.
issue_titleNoCustom issue title (e.g. "[Bug]: Checkout button unresponsive on Safari").
session_dataNoOptional raw session JSON string.
actual_behaviorNoWhat actually occurred in the recording.
expected_behaviorNoWhat the user expected to happen.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. It discloses the generated content and implies a formatting/output operation rather than a state mutation, but it never states whether it writes to disk, posts an issue, requires an existing session, or what happens when no session is available.

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?

A single dense sentence with zero filler, front-loaded with the verb and the deliverable, followed by the specific components produced. It is long but every clause earns its place; a short lead sentence about the session prerequisite would improve structure further.

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

Completeness3/5

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

For a 7-parameter, all-optional tool with no annotations and no output schema, the description covers what the document contains but not what the agent receives back, where the document goes, or how the sibling session-lookup tools relate to it. Adequate but with clear gaps.

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 description coverage is 100% across all 7 parameters, so the schema already documents each field, making 3 the baseline. The description gestures at a few of them (video links map to watch_url, failure points to actual/expected_behavior) but adds no format or constraint details beyond the schema.

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

Purpose4/5

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

Names a specific verb (format) and a precise resource (GitHub/Jira bug reproduction markdown document) and enumerates the artifacts it assembles: timestamped video links, environment tables, failure points from a QuickCast session. That is far more informative than a restatement of the name, though it never explicitly distinguishes itself from generate_sop_guide or scaffold_playwright_test.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, no prerequisites, and no routing to alternatives. The phrase 'from a QuickCast session' hints at the input context but leaves the agent to infer whether it should first call get_latest_session or list_recent_sessions from the sibling set.

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