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Get peptide research profile

get_peptide_details
Read-onlyIdempotent

Full educational research profile for one peptide: classification, mechanism and targets, research areas, evidence by tier (regulatory label, controlled human trials, other human studies, secondary reports, animal and in-vitro research) with cited sources, safety and side effects, regulatory status (FDA, WADA), review dates and the canonical Peptide Library URL. Fields the profile lacks are "not_documented". Dose figures and administration instructions are never included.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
peptideYesA peptide id (e.g. "bpc-157"), name, synonym or alias (e.g. "PT-141", "Ozempic").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
urlYes
nameYes
notesYes
reviewYes
safetyYes
sourceYes
summaryYes
evidenceYes
mechanismYes
categoriesYes
disclaimerYes
propertiesYes
referencesYes
regulatoryYes
retrieved_atYes
also_known_asYes
classificationYes
research_areasYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: missing fields are returned as 'not_documented' and dosing/administration content is never included, which tells the agent what it will never receive from this call.

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

Conciseness4/5

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

Purpose is front-loaded in the first clause, followed by a dense but useful enumeration of returned sections and a closing exclusion sentence. It is long, but every element earns its place except the field list, which partly restates the available output schema.

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

Completeness4/5

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

With an output schema present, the return-value enumeration is somewhat redundant, yet the description still adds scope limits ('not_documented', no dosing) that the schema cannot express. Annotations cover the safety profile, so nothing essential is missing for correct invocation.

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?

Only one parameter and schema coverage is 100% — the schema itself documents the id/name/synonym/alias forms. The description adds no further input semantics, so the baseline 3 applies.

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 verb and resource — a full educational research profile for a single peptide — and enumerates the content domains it returns. The scope phrase 'for one peptide' implicitly separates it from search_peptides/compare_peptides, but no sibling is named, so an agent must infer the boundary.

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?

Usage is implied by the single-peptide scope, but there is no explicit when-to-use/when-not statement and no pointer to alternatives such as search_peptides or compare_peptides. An agent can guess the intent but is not routed.

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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