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TickDB Market Data

get_industries_rank

Get the industry ranking for a market.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum industries, from 1 to 200; upstream default 50
marketYesMarket: US, HK, CN; case-insensitive

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.5/5.0
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 behavioral burden. It does not state the ordering/direction of the ranking, what metric drives it, whether the list is truncated by the limit, or how results are returned. For a ranking tool with zero structured behavioral hints, this is a notable gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with no wasted words, which is structurally clean. But the brevity is under-specification rather than effective conciseness given the unstated ranking semantics.

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?

For a simple two-parameter read tool with full schema coverage and no output schema, the description is still too thin: the definition of the ranking and its ordering are omitted, which are the details an agent needs to interpret or present results. It is not adequate for the tool's modest complexity.

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%: the market parameter documents allowed values (US, HK, CN) and case-insensitivity, and limit documents its 1–200 range and default. The description adds no parameter meaning beyond the schema, so the baseline 3 applies.

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 names a verb ("Get") and a resource ("industry ranking") scoped to a market, so the broad intent is inferable. However, it never says what the ranking is ranked by (performance, valuation, market cap) and does not distinguish it from siblings like get_industries_tree, get_industry_distribution, or get_industry_peers. That ambiguity in ranking metric leaves purpose only partially clear.

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?

There is no when-to-use guidance, no mention of alternatives such as get_industries_tree or get_industry_distribution, and no stated prerequisites. The agent must guess which industry-related sibling to pick from context alone.

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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