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

With no annotations, the description must disclose operational behavior, but it only states that it analyzes website/Instagram and returns a score. It does not mention required permissions, external calls, data handling, or limitations (e.g., whether a website URL or Instagram handle is mandatory). This is a significant gap for a tool that likely accesses external resources.

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 front-loaded and concise, with two functional sentences plus a tagline ('Powered by Fusión Studio AI') that adds no operational value. The core purpose and output are clearly stated without excessive detail, earning a high but not perfect score.

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?

No output schema exists, so the description must explain return values—it does mention a score and brand leaks, but lacks detail on the structure (e.g., list, format). It also does not clarify whether both website and Instagram are needed or how missing inputs are handled, leaving context incomplete for a 6-parameter tool.

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?

All 6 parameters are already described in the schema (coverage 100%). The description adds minimal value by mentioning 'sitio web y/o Instagram', which maps to website_url and instagram_handle, but does not elaborate on parameter semantics beyond the schema. Baseline 3 is appropriate.

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 verb ('analiza'), resource ('presencia de marca'), and output ('score 1-100 con fugas de marca'). It clearly distinguishes from sibling tools like brand_book_status or generate_proposal by focusing on brand audit rather than brand book or proposal generation.

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 provides clear usage context: 'Útil para evaluar la identidad visual, coherencia y comunicación de cualquier PyME o emprendimiento.' It implies when to use the tool (assessing brand presence) but does not explicitly name alternatives or exclusions, hence not a 5.

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