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clinicalintelpulse

Analyze pharmaceutical pipelines and clinical trials by scanning 400,000+ registered trials from ClinicalTrials.gov, FDA, PubMed, and news. Assess approval probabilities, sponsor intelligence, and deal signals.

Instructions

ClinicalIntelPulse: Pharmaceutical pipeline and clinical trial intelligence API. Synthesizes 400,000+ registered trials from ClinicalTrials.gov with FDA OpenFDA, PubMed, and real-time news. All endpoints require x402 pay

Coverage: Global

Endpoints: • pipeline-scan ($0.15): Phase 2/3 pipeline scan • approval-outlook ($0.25): FDA/EMA approval probability • sponsor-intel ($0.20): Pharma/biotech pipeline intelligence • disease-landscape ($0.35): Full disease landscape report • trial-brief ($0.10): Clinical trial deep dive by NCT ID • mechanism-map ($0.20): Drug target and MOA landscape • global-trials ($0.15): Global clinical trial landscape • failure-analysis ($0.20): Clinical trial failure analysis • patient-finder ($0.10): Recruiting trial finder (plain language) • deal-signal ($0.35): Biotech M&A and licensing deal signals

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoResponse language
depthNodepth
focusNofocus
phaseNophase
stageNostage
actionYesWhich endpoint to call. Options: pipeline-scan | approval-outlook | sponsor-intel | disease-landscape | trial-brief | mechanism-map | global-trials | failure-analysis | patient-finder | deal-signal
agencyNoagency
nct_idNoNCT identifier — e.g. NCT04368728
regionNoregion
statusNostatus
countryNoOptional country filter — e.g. 'United States' | 'Germany' | 'Australia'
horizonNohorizon
sponsorNoCompany name — e.g. 'Moderna' | 'Alnylam' | 'Vertex Pharmaceuticals'
conditionNoDisease or condition — e.g. 'Non-Small Cell Lung Cancer' | 'Alzheimer Disease' | 'Type 2 Diabetes'
deal_typeNodeal_type
mechanismNoOptional focus — e.g. 'BTK inhibitor' | 'CAR-T' | 'IL-17'
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses data sources (ClinicalTrials.gov, FDA OpenFDA, PubMed, real-time news) and endpoint pricing, which adds valuable context. However, it does not mention rate limits, authentication details, or whether operations are destructive, so some gaps remain.

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?

The description is reasonably concise given the amount of information, starting with the core purpose and then listing endpoints. The list format makes it scannable. Minor redundancy (e.g., coverage mention) could be trimmed, but overall it is well-structured.

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?

For a tool with 16 parameters and no output schema, the description covers the high-level purpose and endpoint options but lacks guidance on how parameters combine or which parameters are relevant for each endpoint. It provides enough for simple use but misses deeper context needed for complex queries.

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?

Although schema coverage is 100%, many parameter descriptions are minimal (e.g., 'depth', 'focus', 'stage' are just the parameter name). The description does not elaborate on these generic parameters or clarify how they interact with different endpoints. While some parameters like nct_id and sponsor have examples in the schema, the description adds no extra meaning beyond what's in the schema.

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 clearly states it is a 'Pharmaceutical pipeline and clinical trial intelligence API' and lists 10 specific endpoints with brief descriptions, making the tool's purpose immediately clear and distinguishing it from sibling tools that cover other domains.

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 provides a list of endpoints with their intended uses (e.g., 'Phase 2/3 pipeline scan') and mentions a payment requirement ('All endpoints require x402 pay'). However, it does not explicitly state when not to use this tool or compare it to alternatives, which would be helpful given the many sibling tools.

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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