list_chapters
The chapters of the book Nature's Memory (the source of every task), with links.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The chapters of the book Nature's Memory (the source of every task), with links.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds that results include links and that the book is task-related context, but says nothing about ordering, whether the list is exhaustive, or how large it is. Adequate but thin beyond annotations.
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?
A single compact sentence with the trailing qualifier kept short. It is front-loaded on the resource, though the parenthetical aside slightly interrupts the core statement.
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?
With no output schema, the description is the only source of information about what is returned, and 'with links' is the entire contract. It does not indicate what identifying field an agent would feed into get_chapter, leaving a real gap for a discovery tool.
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 to disambiguate; the baseline applies. The description's mention of 'links' refers to output rather than inputs, which is harmless.
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 the specific resource (chapters of the book Nature's Memory) and notes it returns links, which is enough to distinguish it from get_chapter and search_book by implication. It reads as a noun phrase rather than a verb, but the operation (list all chapters) is unmistakable.
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 on when to call this versus get_chapter or search_book; it only parenthetically explains that the book is 'the source of every task'. The agent must infer that this is the entry point for discovering chapter identifiers.
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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