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chimeraforge_compare_api

Compare self-hosting against hosted APIs for a workload. Sizes the cheapest GPU fleet, prices traffic through each API model, and finds the break-even monthly output-token volume.

Instructions

Compare self-hosting against the hosted APIs for a workload: sizes the cheapest feasible GPU fleet, prices the same traffic through each API model, and gives the monthly output-token volume where the two break even. Use for 'is it cheaper to self-host or use the API', 'when does a GPU pay for itself'. API prices come from a dated snapshot -- the result reports its age and flags it when stale; say so rather than quoting an old price as current.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNo
hardwareYes
duty_cycleNo
model_sizeNo8b
request_rateNo
allow_networkNo
prompt_tokensNo
context_lengthNo
latency_slo_msNo
quality_targetNo
reasoning_tokensNo
avg_output_tokensNo
Behavior5/5

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

With no annotations available, the description carries the full behavioral burden and does it well. It discloses that API prices come from a dated snapshot, that the result reports its age and flags staleness, and instructs the agent not to present old prices as current. This is a meaningful, non-obvious behavioral disclosure.

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 sentences, each earning its place: the first explains what the tool computes, the second gives real user intents, and the third warns about stale pricing. The outcome is well structured and front-loaded.

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?

The description is complete on purpose, behavior, and the staleness caveat, but it does not cover the 12-parameter input surface or any expected return format beyond the three high-level outputs. For a tool with no output schema and no annotations, that leaves a meaningful completeness gap.

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

Parameters2/5

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

Schema description coverage is 0% and there are 12 parameters, so the description needed to compensate. It only implies concepts like workload and traffic without explaining properties such as hardware, model, duty_cycle, latency_slo_ms, quality_target, or avg_output_tokens. An agent would struggle to set these correctly based solely on this description.

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 names a specific action (compare), a specific subject (self-hosting vs. hosted APIs), and the three concrete outputs: cheapest feasible GPU fleet sizing, price comparison for identical traffic, and break-even token volume. This clearly differentiates it from siblings like 'plan' and 'suggest'.

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 description gives explicit, user-quoted use cases: 'is it cheaper to self-host or use the API' and 'when does a GPU pay for itself'. It does not explicitly name alternatives or say when to use a sibling tool instead, so it stops slightly short of 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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