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PK/PD simulation / PK/PD 模拟

pkpd_simulate
Read-only

PK/PD simulation / PK/PD 模拟 | USE WHEN: simulate concentration-effect time course for a dosing regimen | ALIASES: PK/PD模拟, 给药方案模拟, 浓度时间曲线, simulation, 剂量方案 | RETURNS: 模拟曲线与参数

Input Schema

NameRequiredDescriptionDefault
drug_nameYes药物名
pd_paramsNo药效参数
pk_paramsNo药代参数

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered by structured data. The description adds the 'RETURNS: 模拟曲线与参数' line, which is useful given no output schema exists, but it says nothing about what model is used, what happens when pk_params or pd_params are omitted, or what units/format results carry.

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?

The pipe-delimited keyword block is front-loaded and scannable, and the alias list may aid retrieval. But it restates the title verbatim in the first segment and spends space on Chinese synonym aliases rather than on behavioral or parameter detail, so several clauses do not earn their place.

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?

For a tool taking two untyped nested objects and returning no output schema, the definition should explain what belongs in pk_params and pd_params and what the curves contain. The one-line 'RETURNS' hint and a single use case are thin relative to that complexity, leaving an agent likely to pass malformed nested payloads.

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 description coverage is 100%, so the baseline of 3 applies, and the description adds no parameter detail beyond the schema's generic labels. This is notable because two of the three parameters are free-form nested objects (pk_params, pd_params) whose expected keys the description does not clarify.

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 'USE WHEN' clause gives a specific verb and resource: simulate a concentration-effect time course for a dosing regimen. That is clear enough to act on, but it never distinguishes this from close siblings such as pk_pd_assess, pk_nca, or renal_dose_adjust, so an agent facing a PK/PD request has to guess which one applies.

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

Usage Guidelines3/5

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

The 'USE WHEN' line supplies a single positive trigger condition, which is more than most keyword blocks offer. However, there are no exclusions or named alternatives, and given the crowded PK/PD neighborhood (pk_pd_assess, pk_nca, species_dose_convert), the absence of routing guidance leaves a real ambiguity.

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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