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ingest_session

Ingest a QuickCast recording session into local storage so AI assistants can reference it for tests, bug reports, or walkthroughs.

Instructions

Ingest and store a QuickCast recording session into the local session storage (~/.quickcast/sessions.json) so AI assistants can reference it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markersNoArray of interaction markers with timeSec, label, selector, etc.
filenameNoOriginal recording filename.
watchUrlYesCloudflare R2 watch URL for the recording.
sessionIdNoUnique session identifier (e.g. "qc_rec_1740001234").
environmentNoEnvironment metadata (url, browser, resolution, os).
durationSecondsNoTotal length in seconds.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden, and it does disclose the concrete storage target (~/.quickcast/sessions.json). However, it is silent on write semantics such as overwrite vs append behavior, duplicate sessionId handling, or permission requirements for that file.

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 well-formed sentence with the action front-loaded and the storage side effect attached at the end. Nothing is wasted, though a brief usage clause would have justified more length.

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 write tool with nested marker/environment objects and no annotations or output schema, the description covers the destination but leaves idempotency, overwrite behavior, and return expectations unaddressed. The rich schema carries most of the load, so it is 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% for all six parameters, so the schema already documents watchUrl, markers, environment, etc. The description adds no syntax or format detail beyond what the schema provides, which is the baseline 3 case.

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?

States a specific verb (ingest/store) and resource (QuickCast recording session) plus the destination store, which clearly separates it from read-oriented siblings like list_recent_sessions and get_latest_session. It stops short of explicitly naming those siblings, so it falls short of a 5.

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

Usage Guidelines3/5

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

The clause 'so AI assistants can reference it' implies the downstream purpose and thus when to use it, but there is no explicit when-to-use instruction, no prerequisites, and no exclusion relative to the sibling retrieval tools.

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