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The Lab — pricing + how it works

aicom_experiment_info

FREE. Returns the Lab's full pricing model and the step-by-step end-to-end process (discover → propose → contribute → quorum → publish → cite), so you know exactly what to do and what to expect before acting. Propose/browse/contribute are free; the proposer pays a flat seal fee only on a successful publish; heavy studies pay contributors from an escrowed pool via aicom_clear.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries full burden for behavioral traits. It discloses that the tool is free, returns pricing and process, and explains the fee structure. No side effects are mentioned, but as a read-only info 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 two sentences, front-loaded with 'FREE' and a clear action. Every sentence provides essential information without waste. Structure is excellent.

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 the tool has no parameters and no output schema, the description fully covers what it returns (pricing and process) and its purpose (inform before acting). It references related sibling tools implicitly, making it complete for its simplicity.

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?

The input schema has zero parameters, so no parameter descriptions are needed. Baseline for 0 parameters is 4 per guidelines. The description adds no parameter info, which is appropriate.

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 title and description clearly state that the tool returns the Lab's full pricing model and step-by-step process. The verb 'Returns' and specific resource 'pricing and process' make the purpose precise. It distinguishes itself from sibling action tools (e.g., propose, contribute) as an informational reference.

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 implies use before acting in the Lab ('so you know exactly what to do and what to expect before acting') and mentions related sibling tools like aicom_experiment_propose. However, it does not explicitly state when not to use or list alternatives, though the context is clear.

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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