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check_text_level

Estimate the HSK level of Chinese text (up to 5000 characters).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It adds one genuinely useful trait — the 5000-character input limit — but says nothing about permissions, rate limits, whether the estimate is deterministic, or how partial/unknown characters are handled.

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?

A single sentence with the action and resource front-loaded and the constraint folded in without waste. Nothing is padded or repeated.

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?

There is no output schema, so the description must explain what an 'estimate' returns — an HSK band, a numeric score, confidence, or a per-character breakdown. It only implies a level and omits the return shape entirely, leaving a real gap for a tool whose whole value is its output.

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 coverage is 0% for the single 'text' parameter, so the description should compensate. It contributes the 5000-character limit, which is meaningful parameter context, but gives no detail on expected script (simplified vs traditional), encoding, or whether the input is plain prose vs mixed content.

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 names a specific verb ('Estimate') and resource ('HSK level of Chinese text') and adds a scope constraint (up to 5000 characters), so the agent knows exactly what this tool produces. It does not name or contrast with the related sibling 'get_level_check_link', so routing between the two is left to inference rather than stated.

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 or when-not-to-use guidance, and no alternative is mentioned despite a plausibly overlapping sibling ('get_level_check_link' and 'list_words_by_level'). The agent must guess the context in which this estimation is preferred.

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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