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BioContextAI Knowledgebase MCP

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bc_get_study_details

Get comprehensive clinical trial details by NCT ID, including study design, eligibility, outcomes, locations, and metadata.

Instructions

Get complete trial details by NCT ID. Retrieves study design, eligibility, outcomes, locations, contacts, and metadata.

Returns: dict: Study details with protocol sections including identification, status, sponsors, description, conditions, design, interventions, outcomes, eligibility, locations or error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoComma-separated fields or 'all' for complete data. Default includes key modules.IdentificationModule,StatusModule,SponsorCollaboratorsModule,DescriptionModule,ConditionsModule,DesignModule,ArmsInterventionsModule,OutcomesModule,EligibilityModule,ContactsLocationsModule
nct_idYesNCT ID (e.g., 'NCT01234567')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Without annotations, the description solely bears the responsibility for behavioral disclosure. It states the tool retrieves study details and returns a dictionary, which implies a read-only operation. However, it does not mention any potential side effects, authentication needs, rate limits, or other behavioral traits beyond the basic read action.

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 very concise, consisting of two sentences and a return type definition. It is front-loaded with the main action and avoids unnecessary words or repetition.

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?

Given the presence of an output schema, complete schema descriptions, and only two parameters, the description covers the essential aspects. It clearly states the purpose and return structure. A minor gap is the lack of mention that it is for a single study and requires an exact NCT ID, but overall it is sufficiently complete.

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?

With 100% schema description coverage, the baseline is 3. The description adds minimal value beyond the schema; it reiterates that the tool retrieves details by NCT ID but does not explain the fields parameter in more detail or provide usage examples. The schema already documents the parameters sufficiently.

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 explicitly states the verb 'Get', the resource 'complete trial details', and the method 'by NCT ID'. It lists the types of data retrieved (study design, eligibility, etc.), distinguishing it from sibling tools like bc_search_studies that return lists rather than complete details.

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 description mentions using an NCT ID but does not provide guidance on when to use this tool versus alternatives such as bc_search_studies or bc_get_recruiting_studies_by_location. No exclusions or prerequisite information is given, leaving the agent to infer the appropriate context.

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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