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Read the script

script_read
Read-onlyIdempotent

The active script, its versions, and the script settings (script_target_minutes, voice_mix, visual concept). Show the script to the user before Analyze Script.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject id

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description goes beyond them by enumerating the payload contents (active script, versions, settings) — meaningful given there is no output schema — though it says nothing about size, versioning behavior, or what happens when no script exists.

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?

Very short and dense: payload contents first, then the user-facing directive. The parenthetical field list is slightly cluttered but every element carries information; no filler sentences.

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?

For a single-parameter read tool with full annotation coverage, the description covers what it returns and when in the workflow to invoke it. With no output schema, a bit more detail on the returned shape (e.g. empty/absent script case) would be needed for a 5, but nothing essential is missing.

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 coverage is 100% with a single project_id parameter, so the schema already carries the parameter documentation. The description adds no additional meaning about project_id (format, source, or scoping), which is the expected baseline when the schema does the work.

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 the exact resource returned — the active script, its versions, and script settings with three named setting fields — so an agent knows precisely what this fetches. It is phrased as a noun list rather than a verb+resource statement, but the read intent is unambiguous and it is distinguishable from script_edit and script_generate by naming script content rather than changes.

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?

"Show the script to the user before Analyze Script" supplies one workflow cue and a sequencing constraint, which is real guidance. However, it never names the sibling tools (script_edit, script_generate) or states when-not to use this versus those, so the routing information is only partially implied.

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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