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convert_text

Convert Markdown to plain text, choosing how lists, tables, code, and headings are formatted.

Instructions

Convert markdown text to plain text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsNo
markdownYesMarkdown text to convert
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It simply states the conversion without detailing how formatting, links, code blocks, or options are handled. Only a minimal behavioral statement is given.

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 unnecessary words or repetition. It is directly informative and earns its place.

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?

The tool has a nested options object and no output schema, indicating some complexity. The description covers only the core function and omits behavioral context, such as how options affect the output or potential limitations. It is too sparse for full contextual completeness.

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?

The input schema already describes the 'markdown' parameter and the sub-properties of 'options'. The description adds no additional parameter meaning. With 50% schema coverage (the top-level 'options' object lacks a description), the description does not compensate, but the schema provides adequate baseline information.

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 action (convert), the input (markdown text), and the output (plain text). It distinguishes from sibling tools like convert_file and convert_url by specifying the input type as text rather than file or URL.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention sibling tools, prerequisites, or exclusions, so the agent must infer usage from the name and minimal description.

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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