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Get a scene

get_scene
Read-onlyIdempotent

Read a card, annotated sheet or measured recipe. Recipes include relative and absolute timing, OCR box meaning, heuristic motion measurements, source provenance, verification and missing-data reasons.

Input Schema

NameRequiredDescriptionDefault
idNo
depthNosheet
scene_idNo

Output Schema

NameRequiredDescriptionDefault
schema_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety bar is low. The description earns credit beyond that by disclosing the actual payload content: timing, OCR box meaning, heuristic motion measurements, source provenance, verification and missing-data reasons — useful detail about what the read returns.

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?

Two tight sentences, front-loaded with the verb and resource forms. No filler; the second sentence wastes nothing in listing recipe contents.

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?

An output schema exists, so return shape need not be described. But for a tool with zero schema description coverage and two identifier parameters, the description leaves a real ambiguity (id vs scene_id) unresolved, so it is not quite complete enough for confident invocation.

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 0%, so the description has to carry parameter meaning. It does map the three `depth` values to distinct content (card/sheet/recipe), which is genuinely helpful. However, it says nothing about the distinction between `id` and `scene_id`, two overlapping identifier parameters left entirely unexplained.

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 names the three concrete resource forms (card, annotated sheet, measured recipe), which maps onto the `depth` enum. It does not explicitly say it retrieves a single scene or contrast itself with the singular sibling get_scenes, but the resource is unambiguous.

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?

Usage is only implied: the enumeration of what each depth returns hints at which variant to pick, but there is no explicit when-to-use or when-to-prefer-get_scenes/search_scenes guidance. The agent must infer the selection logic from the 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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