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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds useful context beyond them: the exact corpora searched and the fact that results are sections with URLs, which matters because there is no output schema. It stops short of describing ranking or result-cap behavior.

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?

A single front-loaded sentence with no filler; the parenthetical examples earn their place by showing query granularity. Slightly dense, but nothing is wasted.

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 a simple two-parameter read tool with annotations covering the safety profile, the description covers purpose, corpora and return shape, which is most of what an agent needs. Ranking behavior and any result-cap/pagination nuance remain unstated.

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 both parameters are already documented and the baseline is 3. The example topics ("rate limits", "ad blockers", "GDPR") do help an agent shape a good query, but the description says nothing about the limit parameter or result-count semantics.

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 gives a specific verb (searches) and resource (TraceTail's documentation, pricing, comparison and blog), plus the return shape (matching sections with URLs). It does not explicitly distinguish itself from siblings like read_docs_page or get_pricing, whose scope it partially overlaps, so an agent still has to infer the split.

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 is implied: this is the discovery tool for when you don't already know the page, versus read_docs_page for opening a known page. But no when-to-use, when-not-to-use, or named alternative is stated, leaving the routing decision to inference.

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