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

With readOnlyHint=false and openWorldHint=true already declared, the description still adds real behavior: it is an asynchronous background job, results persist into the person's Puley history, an email is sent, and re-issuing the same request acts as a status check. It does not say how long a run takes or what happens on failure. There is mild tension with idempotentHint=false, since re-requesting sounds like it returns existing state rather than starting a new run, but it is not a direct contradiction.

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 purpose and the async/persistence behavior are front-loaded, and no sentence is pure filler. The first sentence is long and strings five data sources together, which makes it slightly dense, but it earns its length by describing scope.

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 an open-world, non-read-only background job with no output schema, the description covers the data sources, the deliverable, persistence, email delivery and polling. It still omits expected runtime, cost or quota implications, and any description of the returned result's shape beyond 'growth moves with evidence', and it ignores the second parameter.

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 description coverage is 0%, so the description must carry the load. It partially does, clarifying that 'brand' accepts either a name or a website, which is real added meaning. The 'country' parameter (default US) is never mentioned, leaving half the inputs undocumented in both schema and description.

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 names a concrete verb and deliverable: it reads a brand's live ads, creator videos, social posts, news and paid search, then writes copyable growth moves with evidence. That is far more specific than the sibling names (competitor_report, company_brief) suggest on their own, though it never explicitly contrasts itself with those nearby tools.

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?

Usage context is implied through the audience framing ('the growth moves a smaller business could copy'), and there is a genuinely useful polling instruction ('The same request again returns its progress or the finished result'). However, there is no statement of when to prefer this over competitor_report or company_brief, and no guidance on preconditions such as a connected account.

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