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TianGong-LCA-MCP Server

by linancn

Search_Flows_Tool

Search Life Cycle Assessment (LCA) flows data to find environmental impact information for materials and processes.

Instructions

Search LCA flows data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesQueries from user
Behavior1/5

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 only states the action ('Search') without any details on permissions, rate limits, response format, or other behavioral traits. This is inadequate for a tool with no annotation coverage.

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 with a single sentence, 'Search LCA flows data.', which is front-loaded and wastes no words. It efficiently conveys the core purpose without unnecessary elaboration.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain what 'LCA flows data' includes, how results are returned, or any behavioral aspects. For a search tool with no structured support, this leaves significant gaps in understanding.

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?

The input schema has 100% description coverage, with the 'query' parameter documented as 'Queries from user'. The description adds no additional meaning beyond this, such as examples or search syntax. Given the high schema coverage, the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Search LCA flows data' clearly states the verb ('Search') and resource ('LCA flows data'), providing a basic understanding of the tool's function. However, it doesn't differentiate from sibling tools like 'Search_Life_Cycle_Models_Tool' or 'Search_Processes_Tool' that also search different data types, leaving the purpose somewhat vague in context.

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 offers no guidance on when to use this tool versus alternatives. It doesn't mention what 'LCA flows data' entails compared to other searchable data types (e.g., processes, models), nor does it provide any context, prerequisites, or exclusions for usage.

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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