Fetch London Metal Exchange (LME) inventory reports from 2014-07-02 to present. Returns structured metal stock data as a pandas DataFrame for analysis.
伦敦金属交易所(LME)-库存报告，数据区间从 20140702-至今 https://datacenter.jin10.com/reportType/dc_lme_report https://cdn.jin10.com/data_center/reports/lme_stock.json?_=1591535304783 :return: 伦敦金属交易所(LME)-库存报告 :rtype: pandas.DataFrame
| Name | Required | Description | Default |
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Changes observed during successful MCP inspections.
v0.1.2Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds the data range, source URLs, and return type (pandas.DataFrame), which is useful, but it does not disclose update frequency, pagination, authentication, or rate-limit behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The purpose and date range are front-loaded, which is good. However, the :return: line repeats the resource name without adding information, and the two raw URLs are of questionable use for invoking the tool, making the description slightly less tight than it could be.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter, read-only data retrieval tool with rich annotations and no output schema, the description provides enough to call it correctly: it states the resource, time coverage, source, and return type. Missing details such as update frequency or caveats about the data are minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to clarify beyond what the empty schema already communicates. The baseline for a no-parameter tool is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the specific resource (LME inventory report) and its coverage period (20140702 to present), which clearly distinguishes it from sibling macro_euro_lme_holding (LME holdings report). However, it does not use an explicit verb and relies on the resource name and sibling naming convention for differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives such as macro_euro_lme_holding, futures_inventory_99, or other inventory-related tools. The date range and source URLs provide context but do not tell the agent when this tool is the right choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.