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TianGong-LCA-MCP Server

by linancn

OpenLCA_Impact_Assessment_Tool

Calculate life cycle impact assessments using OpenLCA to evaluate environmental impacts of product systems with specified impact methods.

Instructions

Calculate life cycle impact assessment using OpenLCA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productSystemYesOpenLCA product system ID
impactMethodYesOpenLCA impact method ID
serverUrlNoOpenLCA IPC server URLhttp://localhost:8080
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 mentions 'Calculate' but doesn't specify if this is a read-only or write operation, what permissions are needed, potential side effects, rate limits, or error handling. For a calculation tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, clearly stating the tool's purpose without unnecessary elaboration, earning its place fully.

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

Completeness2/5

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

Given the complexity of a calculation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., impact scores, error messages), prerequisites like server setup, or how it interacts with sibling tools, leaving the agent with insufficient context for effective use.

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?

Schema description coverage is 100%, so the schema already documents all three parameters (productSystem, impactMethod, serverUrl) with descriptions. The description adds no additional meaning beyond what's in the schema, such as explaining relationships between parameters or usage examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 action ('Calculate') and resource ('life cycle impact assessment using OpenLCA'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'LCA_Calculation_Guidance_Tool' or 'OpenLCA_List_LCIA_Methods_Tool', which might handle related but different operations.

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. With siblings like 'LCA_Calculation_Guidance_Tool' and 'OpenLCA_List_LCIA_Methods_Tool', it's unclear if this is for performing calculations, listing methods, or something else, leaving the agent without context for selection.

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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