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

With no annotations, the description carries the burden of behavioral disclosure. It does add useful context about the output format (list of tables, headers, row objects), but it does not disclose how malformed tables are handled, whether headerless tables are supported, or what happens when no table is present. The stated output structure is helpful but the behavior remains underspecified.

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?

The description is a single sentence that efficiently communicates the core purpose and the expected output shape. It is front-loaded with the action and avoids filler. It could be slightly richer with usage hints, but it earns its place without unnecessary verbosity.

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 tool with no output schema and no annotations, the description provides the essential input and output shape. However, it leaves gaps around multiple-table handling, malformed input behavior, and the exact JSON structure of row objects. It is adequate but not comprehensive for an agent that needs to anticipate edge cases.

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 schema describes the only parameter ('md': 'Md to process') with 100% coverage, so the baseline of 3 applies. The description does not add further semantic detail about the parameter, but none is needed since the parameter is self-explanatory and fully documented in the schema.

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?

The description states a specific action ('Extract tables from Markdown into structured JSON'), a clear resource (Markdown tables), and the output structure (list of tables with headers and row objects). It is easily distinguishable from most siblings, though it does not explicitly differentiate from related tools like x402-html-table-extract.

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 description implies the usage context: call this when you need to extract tables from Markdown-formatted text. However, it does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives like x402-html-table-extract for HTML sources. The usage is reasonably clear but not fully spelled out.

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