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

No annotations are present, so the description carries the full burden. It does disclose genuinely useful non-obvious behavior — 'Auth mode: paid' and '$0.003 per call (USDC on Base via x402, or USDC on Tempo via MPP)' — which an agent must know before calling. It says nothing about idempotency, reversibility, or output shape, leaving gaps for a transformation tool with zero annotation coverage.

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 payload is heavily padded with SEO-style metadata: origin URL, hostname, brand, provider aliases, eight keyword lines, and a 'Source description' that verbatim repeats the Summary. The actual purpose is buried after boilerplate instead of front-loaded, and the repetition costs readability.

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?

There is no output schema or annotation coverage, so the description should be doing more. It covers scope, use cases, and cost, but omits the return format and whether normalization is lossy — details an agent needs for a text-transformation call. Adequate but with clear gaps.

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 0% and the single 'text' property is undocumented, so the description bears the load. It implies the input is 'a Persian string' to clean, which is adequate given the obviousness of the parameter, but it adds no format, length, or encoding constraints.

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 Summary states a specific verb and resource plus the concrete operations performed: 'unify Arabic/Kaf Yeh variants, remove tatweel and zero-width characters, fix spacing around ZWNJ.' That is far more useful than the bare name. It does not, however, distinguish itself from close siblings such as unicode_normalize or fix_rtl, which an agent could reasonably confuse it with.

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?

'Use for any Persian text cleanup' plus four use-case lines give implied context (pre-indexing cleanup, invisible-character fixing), but they largely restate the operations rather than say when this beats unicode_normalize or fix_rtl. No exclusions or alternative-routing guidance are offered.

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