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

Against annotations that only flag readOnly=false, openWorld=true, idempotent=false, the description adds substantial behavioral context: what pages and files are crawled, that two unbranded customer questions are sampled via live OpenAI API searches, how public research is cached and dated, that private client data is excluded, and explicit negative capabilities (cannot access other MCP connections, infer private metrics, or edit websites). It even states the service does not draft or send outreach.

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 scoping sentence is front-loaded correctly, but the body runs long and repeats itself: report contents are described twice ("Reports include sourced public business contacts..." and "Reports include sourced findings, exact target URLs..."), and the final line restates the already-stated id return. The density is partly justified by the tool's complexity, but several sentences could be merged without losing information.

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?

With no output schema and complex crawler side effects, the description carries the full burden and does so thoroughly: it explains the returned audit ID, what the eventual report contains, the runtime expectation, caching policy, and hard capability limits. An agent has everything needed to invoke it and set expectations correctly.

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%, so the schema already documents every parameter, which sets a baseline of 3. The description adds intent beyond the schema, clarifying that shared_data consists of optional dated provider reports, that competitors are discovered via public market research or supplied by the client, and that reused public research keeps its original dates while private data is excluded from the cache.

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 opening sentence gives a specific verb and resource ("Create a stored SEO/AEO audit of a public business website") and then scopes it precisely: no account, no data connection required. The description details exactly what is read (homepage, up to four internal pages, robots.txt, sitemap.xml, competitors) and that an audit ID is returned, making it unmistakably distinct from the check_audit sibling.

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?

It establishes context well, stating that shared snapshots are optional ("The audit can run without them") and that the call returns an id and "usually takes several minutes," which implicitly routes the agent to a polling sibling. It never explicitly names check_audit or states when not to start a new audit, so it stops short of full when/when-not guidance.

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