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generate_markdown_toc

Generate a table of contents from Markdown headers, with configurable maximum depth and anchor links.

Instructions

Generate a table of contents from Markdown headers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownYesMarkdown content to generate TOC from
maxLevelNoMaximum header level to include (1-6)
generateAnchorsNoWhether to generate anchor links
Behavior2/5

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

Beyond the annotations (readOnlyHint: false), the description adds no behavioral context. It does not clarify side effects, idempotency, or output format, leaving the agent to infer behavior. Annotations alone are insufficient for safety.

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?

The description is a single, front-loaded sentence with no redundant information. Every word serves a purpose, achieving maximum conciseness.

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?

Given the absence of an output schema, the description should specify the return format (e.g., markdown string with links). It fails to provide this essential context, leaving the agent uncertain about what the tool produces.

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?

Since the input schema has 100% description coverage (each parameter is documented), the description adds no additional meaning. It meets the baseline of 3 without enriching parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action ('generate a table of contents') and resource ('from Markdown headers'), making it unambiguous. It distinguishes well from sibling tools, none of which handle markdown TOC generation.

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?

The description provides no guidance on when to use this tool versus alternatives, such as other text processing tools. It does not mention prerequisites or scenarios where this tool is preferable.

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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