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capture_get_encodings

Retrieve available encoding options for ProPresenter capture streams. Specify disk, rtmp, or resi capture types to view compatible formats.

Instructions

Get available capture encodings for a specific type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesThe capture type to get encodings for
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool retrieves encodings but doesn't disclose behavioral traits like whether this is a read-only operation, what format the encodings are returned in, if there are rate limits, or authentication requirements. For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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, clear sentence with zero waste. It front-loads the purpose efficiently without unnecessary details, making it easy for an agent 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?

Given the tool has no annotations and no output schema, the description is incomplete. It doesn't explain what 'capture encodings' are, what the return values might look like, or any error conditions. For a tool that likely returns a list or structured data, this lack of context makes it harder for an agent to use effectively.

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 description coverage is 100%, with the single parameter 'type' fully documented in the schema (including enum values). The description adds no additional meaning beyond what the schema provides, such as explaining what 'capture encodings' entail or how the type influences results. Baseline 3 is appropriate when the schema does the heavy lifting.

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 action ('Get') and resource ('available capture encodings') with a specific scope ('for a specific type'). It distinguishes from sibling tools like 'capture_get_settings' and 'capture_get_status' by focusing on encodings rather than settings or status. However, it doesn't explicitly differentiate from other 'get' tools in the server, keeping it at a 4 rather than a 5.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context, or any sibling tools that might be relevant for related operations. The agent must infer usage solely from the tool name and parameters.

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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