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DesMartin01

InferenceIndexer MCP Server

compare_providers

Find per-provider pricing for any model, showing where direct prices differ from OpenRouter's negotiated rate.

Instructions

Compare the price of one model across the providers that host it.

Args: model_id: Canonical model id, e.g. 'meta/muse-spark-1.1'. Returns: per-provider endpoints with pricing, showing where direct provider prices diverge (e.g. from OpenRouter's negotiated rate).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does well by specifying the return shape (per-provider endpoints with pricing) and adds useful context about price divergence from OpenRouter's negotiated rate. It doesn't cover error cases or permissions, but for a read-only comparison tool this is adequate.

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 compact and well-structured with separate Args and Returns sections. It is front-loaded with the main purpose, every sentence contributes meaningful information, and the example is immediately useful.

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?

The tool has only one required parameter, an output schema exists, and the description covers both input format and return semantics. The additional note about price divergence enriches understanding without going overboard, making it complete for this simple tool.

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?

Although schema description coverage is 0%, the Args section in the description supplies key semantics: 'Canonical model id' and a concrete example ('meta/muse-spark-1.1'). This goes beyond the bare schema and clarifies the expected format, which is enough to guide invocation.

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 a specific verb ('Compare') and a specific resource ('price of one model across providers'), making the tool's purpose unmistakable. It also distinguishes itself from sibling tools like get_provider and list_providers by focusing on cross-provider price comparison.

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?

The intended use case is clearly implied by the purpose: use this when you need to compare pricing across providers for a specific model. However, it does not explicitly mention when not to use it or name alternative tools, so it misses the mark for a 5.

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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