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BioContextAI Knowledgebase MCP

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bc_get_available_ontologies

Retrieve a list of all available ontologies from OLS with metadata including IDs, names, and descriptions. Use this to discover which ontologies can be queried.

Instructions

Query OLS for all available ontologies with their metadata. Use this first to discover available ontologies.

Returns: dict: Ontologies list with id, name, description, prefix, homepage, number of terms, status or error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the return data but does not disclose behavioral traits like idempotency, external dependencies, or error handling beyond mentioning an error message. This is adequate but minimal.

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 extremely concise: two purpose-oriented sentences plus a return format. It is front-loaded and contains zero wasted words.

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 lack of parameters and the existence of an output schema, the description is fairly complete. It covers purpose, usage order, and return structure. It could mention potential latency or external service dependencies, but it is sufficient for a simple listing tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters and 100% schema coverage, the description does not need to add parameter information. Baseline for 0 parameters is 4, and the description is sufficient.

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 the tool queries OLS for all available ontologies with metadata, and explicitly positions it as a first step to discover ontologies, distinguishing it from sibling tools that require an ontology ID.

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 says 'Use this first to discover available ontologies,' providing clear context for when to use it. It does not explicitly mention alternatives or when not to use it, but the sibling tools context implies it is for discovery before other ontology-specific operations.

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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