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configure_token

Set up authentication tokens to access and manage Gene Ontology Causal Activity Models (GO-CAMs) through the Barista API for biological knowledge representation.

Instructions

Configure the Barista authentication token.

Args: token: The Barista authentication token

Returns: Success status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The main handler function for the 'configure_token' tool. It sets the BARISTA_TOKEN environment variable with the provided token and resets the global BaristaClient instance to ensure the new token is used in subsequent operations.
    @mcp.tool()
    async def configure_token(token: str) -> Dict[str, Any]:
        """
        Configure the Barista authentication token.
    
        Args:
            token: The Barista authentication token
    
        Returns:
            Success status
        """
        import os
        global _client
    
        # Set environment variable
        os.environ["BARISTA_TOKEN"] = token
    
        # Reset client to pick up new token
        _client = None
    
        return {
            "success": True,
            "configured": True
        }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool configures an authentication token, implying a write operation that likely affects system state or permissions, but it doesn't detail behavioral traits such as whether this is a one-time setup, if it overwrites existing tokens, error handling, or security implications. For a mutation tool with zero annotation coverage, this is a significant gap.

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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by structured 'Args' and 'Returns' sections. However, the 'Returns' section ('Success status') is vague and could be more informative, slightly reducing efficiency. Overall, it's concise with minimal waste.

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?

Given the tool's complexity (a single-parameter configuration tool), the description is minimally complete. It explains the parameter and mentions a return value, but with no annotations and an output schema present (though not detailed here), it doesn't fully address behavioral aspects like side effects or error cases. It's adequate but has clear gaps, scoring a 3.

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?

The description adds meaningful context beyond the input schema: it specifies that the 'token' parameter is 'The Barista authentication token,' clarifying its purpose and type. With schema description coverage at 0% (no descriptions in the schema), this compensates well for the single parameter, providing essential semantics that the schema lacks.

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 clearly states the tool's purpose: 'Configure the Barista authentication token.' This is a specific verb ('configure') applied to a specific resource ('Barista authentication token'), making the intent unambiguous. However, it doesn't differentiate from sibling tools, as none appear to be authentication-related, so a 4 is appropriate rather than a 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., when authentication is needed), context for usage, or exclusions. This leaves the agent with minimal direction, scoring a 2 for lacking explicit or implied usage instructions.

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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