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video_learning_report

Analyze a video editing project directory to generate a learning report with verdicts, defects, costs, and recipes.

Instructions

Project a learning report (verdicts, defects, costs, recipes) from records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_dirYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Project ... from records' weakly implies a derived, read-only aggregation, but the description never states whether the operation is safe/non-destructive, what it reads, whether it requires an existing project, or whether it writes anything.

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 tight sentence with the resource and the output contents front-loaded; nothing is padded. It is perhaps too terse for the ambiguity of its terms, but structurally it wastes no words.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, but with zero annotations, zero parameter documentation, and undefined key terms ('learning report', 'records'), the definition leaves too much for an agent to infer before calling a tool whose input is a required directory.

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

Parameters2/5

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

Schema description coverage is 0% for the single parameter 'project_dir'. The phrase 'from records' hints that project_dir points at a directory of records, but no path format, expected contents, or failure behavior is given, so the description does not compensate for the missing schema documentation.

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

Purpose3/5

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

It names a verb ('project') and a resource ('learning report') and enumerates the report's contents (verdicts, defects, costs, recipes), which gives the agent a decent sense of output. However, 'project' is ambiguous and 'learning report' / 'records' are undefined jargon, and it does not distinguish itself from overlapping siblings such as video_cost_ledger, video_recipe_capture, or video_verdict.

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 guidance on when to use this tool versus the many sibling report/ledger tools, nor any stated prerequisites or sequencing. The agent must infer usage entirely from the name and the parenthetical content list.

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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