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tsilva
by tsilva

embed

Generate vector embeddings for text input using OpenRouter embedding models. Supports custom models and output formats.

Instructions

Generate embeddings for text input using an OpenRouter embedding model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesText string or list of strings to embed
modelNoEmbedding model (e.g., "mistralai/mistral-embed-2312"). If not specified, uses DEFAULT_EMBEDDING_MODEL environment variable.
dimensionsNoCustom embedding dimensions (model-dependent)
encoding_formatNoOutput format: "float" or "base64" (default: float)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must carry the burden. It does not disclose whether the tool is read-only, has side effects, requires authentication, or any other behavioral traits beyond the basic action.

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?

The description is a single sentence that efficiently conveys the core purpose. It is concise but lacks structure or additional sections.

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 an output schema present and full schema coverage, the description is partially complete. However, it lacks usage guidance and behavioral transparency, which would be needed for an agent to use it confidently.

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 baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions, but does not detract either.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (generate), the resource (embeddings), the input (text), and the provider (OpenRouter). It is specific and distinguishes from sibling tools like chat, generate_image, and list_models.

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, nor any context about appropriate use cases or preconditions. It only states the function.

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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