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orcarouter_model_card

Read-onlyIdempotent

Get complete details for any model using its provider/slug ID — pricing, context window, latency percentiles, and release date.

Instructions

Get detailed information about a single model — display name, long description, pricing (per-call and per-million tokens), context window, max output, modalities (input/output), supported endpoints, latency percentiles (p50/p95), and release date. Use this when you already know the model id and want full details; for browsing or filtering across many models use orcarouter_models_list instead. Returns isError:true with a clear hint when the id is not found. Read-only, no API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesModel ref in `provider/slug` form (e.g. `openai/gpt-4o-mini`, `anthropic/claude-haiku-4.5`). Use the exact `id` value returned by orcarouter_models_list.
Behavior5/5

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

Adds error behavior ('isError:true with hint on not found') and confirms read-only and no API key, consistent with annotations.

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?

Efficient, front-loaded sentences with no waste; each sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given single parameter, no output schema, and informative annotations, description covers all necessary context including error and auth.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers parameter description fully; description adds practical guidance on using exact id from sibling tool.

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?

Clearly states it gets detailed info about a single model, listing specific fields. Differentiates from sibling orcarouter_models_list by purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use when model id is known and full details are needed, and directs to orcarouter_models_list for browsing/filtering.

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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