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routara_list_models

Retrieve a list of available models from Routara, supporting pagination and case-insensitive filtering by model ID. Use before another tool when a model is unspecified.

Instructions

List models available through Routara.

Use this before another tool when a model was not specified. Supports pagination and text filtering. The count field is always the total number of matches before pagination; returned is the number included in this response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoModels returned, default 200, maximum 1000
queryNoCase-insensitive text filter applied to model IDs
offsetNoPagination offset, default 0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It explains pagination semantics ('count field is always the total...') and mentions support for text filtering. It does not explicitly state non-destructive behavior, but 'list' implies a read-only operation.

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?

Three short, focused sentences. First sentence states purpose, second gives usage context, third explains a key behavioral detail. No unnecessary words or redundancy.

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?

For a simple listing tool with three optional parameters and no output schema, the description covers purpose, usage, and pagination behavior. Sibling tools are sufficiently different, so no further distinction needed.

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 coverage is 100%, so the baseline is 3. The description adds that pagination and text filtering are supported, which is already implied by the schema parameters. No additional meaning beyond what the schema provides.

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 'List' and resource 'models available through Routara.' This distinguishes it from sibling tools like routara_chat and routara_generate_image, which perform entirely different actions.

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

Usage Guidelines4/5

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

Explicitly states 'Use this before another tool when a model was not specified,' providing a clear usage context. However, it does not explicitly mention when not to use it or list alternatives, but the context is sufficient for most agents.

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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