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Analyze reference

analyze_reference
Read-only

PROJECT-SCOPED: this call acts only on the explicit project_id and returns the project identity with its result. READ: 'make it like this' — a reel the user uploaded, read for its device classes in order (negatives, flashes, B&W with a kept colour, strobes, type on black, fast cuts) and mapped onto this edit's moments; never its text, logos or footage.

Input Schema

NameRequiredDescriptionDefault
asset_keyYes
project_idYesRequired immutable scope for this call. Copy the id from list_projects/open_project/project_state; the active-project pointer is never used to guess.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already carry the read-only safety profile, so the description earns credit by adding the project-scope constraint and explicit scope exclusions ('never its text, logos or footage'), which tell the agent what the analysis will and won't capture. It does not explain the non-idempotent hint, leaving one annotation trait unexplained.

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?

Front-loaded with the two most decision-relevant markers (PROJECT-SCOPED, READ) followed by the scope exclusions. The parenthetical device-class list is dense but each item conveys a concrete visual pattern, so it largely earns its place.

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?

There is no output schema, so the description must carry the return burden, yet 'returns the project identity with its result' is vague about what the result contains. For an analysis tool feeding downstream edits, the description should say more about the returned mapping.

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 only 50% (asset_key is undocumented), and the description only implicitly identifies asset_key as the uploaded reel. project_id is already well documented in the schema. It adds marginal, informal meaning rather than compensating for the coverage gap.

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 (READ) and resource (an uploaded reference reel) and specifies what it extracts: device classes mapped onto the edit's moments. It distinguishes itself from the nearest sibling analyze_music by being about visual devices, though the 'device classes' vocabulary is idiosyncratic.

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 trigger phrase 'make it like this' gives an implicit usage context, and PROJECT-SCOPED frames the scope. However, it never explicitly says when to prefer this over look_at_asset, analyze_music, or compare_uploaded_media, so routing is left to inference.

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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