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

No annotations are provided, so the description carries the disclosure burden. It usefully reveals the return contents (text, level, vocabulary), which matters since no output schema exists, but says nothing about error behavior for an unknown id or any access constraints.

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?

Two short sentences, zero filler, with the core purpose front-loaded and the id-provenance hint appended. Nothing extraneous.

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 single-parameter read tool with no annotations and no output schema, the description covers both the operation and the return shape. Missing only id format details and failure-mode behavior.

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?

Schema coverage is 0% and the single 'id' parameter has no type or format details. The description compensates partially by clarifying the id is a reading id sourced from list_readings, but adds no syntax or example.

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?

States a specific verb ('Get one') and resource ('graded reading'), then enumerates the returned contents (text, HSK level, vocabulary). This clearly separates it from the plural sibling list_readings and the word-level tools lookup_word/list_words_by_level.

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?

The sentence 'Ids come from list_readings' tells the agent the prerequisite step and routes it to the correct sibling for obtaining an id. It gives clear context but no explicit exclusions (e.g., when to prefer lookup_word for vocabulary detail).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.