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get_bench_card

The illustrated bench card for training: each filmed step drawn by Muse Image from its own video frame (an edit of the real frame, no text drawn in), Muse Spark's check that the drawing kept every object, and the step's reagent and volume from the protocol. Image links are under /api/runs//bench-card/.jpg.

Input Schema

NameRequiredDescriptionDefault
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It gives rich context about what the card is (an edit of the real frame with no text drawn in, checked by Muse Spark to keep every object) and where image links live, but it never states whether calling this generates the card, whether it reads an already-generated one, or what happens if no card exists for a step.

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

Conciseness3/5

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

The description is a single long sentence mixing the card's contents, the generation process, and the image URL structure. It is not padded with filler, but it is not front-loaded either: the URL mechanics arrive last and the most useful scoping fact is buried.

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?

With one required parameter, no annotations, and no output schema, the description needs to cover both what is returned and its shape. It tells us the card contains illustrations, a check, and reagent/volume data, and that image links follow a URL pattern, but leaves the return format, generation-vs-read behavior, and error cases unaddressed.

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?

The schema has a single undocumented parameter (0% description coverage), so the description must compensate. It partially does by showing the path pattern /api/runs/<name>/bench-card/<step>.jpg, which clarifies that 'name' is a run name, but it never says this directly and gives no format or validation details.

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 verb-plus-resource ('get_bench_card' + bench card) is clear from the name and the description explains what the bench card contains (illustrated filmed steps, a check, reagent and volume). It is specific about the artifact but does not name the sibling tools or state explicitly that it returns the card rather than generating it.

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?

There is no explicit when-to-use guidance and no mention of alternatives such as get_tube_labels or get_receipt. The use case (training materials) is only implied by the description of content, so nothing helps an agent distinguish between this tool and related getters.

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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