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evaluate_at_time

Read-only

Computes animated property values at a given time in milliseconds, optionally filtered to one target path, so you can verify an animation.

Instructions

Compute animated property values at a given time (ms). Optionally filter to one target path (e.g. "layers.ball.transform.y"). Use to VERIFY an animation.

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": {
      "timeMs": "<timeMs>"
    },
    "name": "evaluate_at_time"
  }
}

Input Schema

NameRequiredDescriptionDefault
targetNoOptional: only this track target
timeMsYesTime in milliseconds to evaluate at
requestIdNo
sessionIdNo
expectedRevisionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered, and the description correctly reinforces that this is a computation rather than a mutation. It adds no further behavioral context, however: nothing about what happens when the target path does not exist, whether values are interpolated between keyframes, or what the response looks like.

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?

Three short sentences with the core operation front-loaded, the optional filter second, and the use case last. No filler, though the final "Use to VERIFY an animation" sentence is thinner than the guidance a verifier workflow usually needs.

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 is the only place a caller could learn the shape of the returned values, and it does not say whether results come back as a flat path-to-value map or something else. Combined with the unexplained session/request/revision parameters, the definition is adequate but leaves meaningful gaps for a five-parameter tool.

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 40%, so the description carries real weight here: it explains the units of `timeMs` and clarifies that `target` is an optional single-track filter, complete with a concrete example path. It says nothing about `requestId`, `sessionId`, or `expectedRevision`, leaving three of five parameters entirely undocumented in both schema and description.

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 gives a specific verb and resource: "Compute animated property values at a given time (ms)", which tells an agent exactly what the tool produces. It does not, however, differentiate itself from the sibling `evaluate_frame`, which by name appears to do something very similar, leaving ambiguity between the two.

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?

"Use to VERIFY an animation" gives a stated intent, which is more than nothing, but it provides no when-not conditions and never names an alternative such as `evaluate_frame`, `get_scene`, or `describe_timeline`. The agent must infer the boundary between this and the other read/evaluate tools.

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