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

The description adds value beyond annotations by explaining that the tool automatically detects columns, aligns headers, and fills missing keys. It also notes that the input can be a JSON string or the array itself. This is consistent with the readOnlyHint and idempotentHint annotations. The description does not repeat annotation info but adds behavioral context.

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 three sentences: first sentence states purpose, second describes behavior, third gives usage guidance. It is concise, front-loaded, and every sentence adds value. No wasted words.

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?

Given the tool's simplicity (2 parameters, 1 required), the presence of an output schema, and annotations covering safety, the description is complete. It explains purpose, behavior, and usage. The output schema likely documents the return format, so the description does not need to repeat that.

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 100% with both parameters having descriptions in the schema. The description adds context to the input parameter ('The array of objects to render') but does not provide additional semantics beyond what the schema already states. Per the guidelines, baseline 3 is appropriate when schema coverage is high.

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 clearly states the verb 'convert', the resource 'JSON array of objects', and the output 'Markdown table'. It also mentions automatic column detection, header alignment, and missing key handling, which distinguishes it from sibling tools like format_json or format_bytes.

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 explicitly says 'Use when an agent needs to present structured data — tool results, model comparisons, test reports — as a readable table'. This provides clear usage context. However, it does not mention when not to use this tool or directly reference alternatives among the many sibling formatting tools, which would be a minor improvement.

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