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by p10q
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batch_set_expressions

Set multiple After Effects expressions simultaneously to optimize performance when configuring layer properties in bulk.

Instructions

Set multiple expressions at once for better performance

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "compId": "<compId>",
      "expressions": "<expressions>"
    },
    "name": "batch_set_expressions"
  }
}

Input Schema

NameRequiredDescriptionDefault
compIdYesID of the composition
expressionsYesArray of expression configurations

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. 'Set' implies a write/mutation operation, but the description doesn't disclose whether this requires specific permissions, what happens on failure (partial updates?), whether changes are reversible, or any rate limits. It mentions performance benefit but lacks operational details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized and front-loaded with the core purpose, making it easy to parse quickly.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits (permissions, error handling, reversibility), expected return values, and explicit usage differentiation from siblings like 'set_expression', leaving significant gaps for an AI agent.

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%, so the schema fully documents both parameters (compId, expressions) and their nested properties. The description adds no parameter-specific information beyond what's in the schema, maintaining the baseline score of 3.

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?

The description clearly states the verb ('Set') and resource ('multiple expressions') with the performance benefit ('for better performance'). It distinguishes from the sibling 'set_expression' by indicating batch capability, though it doesn't explicitly name that sibling for comparison.

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?

The description mentions 'for better performance' which implies usage when efficiency is needed, but provides no explicit guidance on when to use this versus the single 'set_expression' tool, nor any prerequisites, exclusions, or alternative scenarios.

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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