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ivive.app

target_clint

The in-vitro CLint an assay must read for a compound to reach a target plasma clearance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rbNo
fu_pYes
modelNowell-stirred
fu_micYes
speciesYes
assay_typeNomicrosomes
target_clpYesPlasma clearance to aim for (mL/min/kg). Must be below hepatic blood flow × Rb.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it says nothing about the underlying model (well-stirred vs parallel-tube), units, assumptions, or whether the result is a pure calculation with no side effects. Only the conceptual relationship to plasma clearance is conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, which is efficient, but for a 7-parameter calculation tool it is under-specified rather than genuinely concise. The core idea is front-loaded, so structure is acceptable.

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

Completeness2/5

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

With 7 parameters, 4 required, three enums, low schema coverage, no annotations, and no output schema, the description is far too thin. It omits the required inputs, the model/assay choices, and any hint of return format, leaving substantial gaps for the calling agent.

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 only 14% (only target_clp is documented), and the description does not name or explain fu_mic, fu_p, rb, species, model, or assay_type. It references the concept of target plasma clearance but adds no syntax, units, or constraint detail beyond what the schema partially provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific quantity (in-vitro CLint) and the driving input (target plasma clearance), so an agent can tell it computes a derived assay threshold rather than measuring or scaling anything. It does not, however, differentiate itself from siblings like calc_clhep or scale_to_human, which also produce derived PK values.

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

Usage Guidelines2/5

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

There is no when-to-use statement, no prerequisite description, and no mention of alternatives such as calc_clhep or scale_to_human. The agent must infer the use case purely from the domain phrasing.

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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