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 that the record includes 'every funding round' and external presence (GitHub, Hugging Face), which conveys data depth, but it does not disclose behavior on a missing/ambiguous company or any name-vs-slug resolution rules. Much of the content overlaps what the output schema already reveals.

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, structured as a resource followed by a field inventory. It is slightly list-heavy in a way that duplicates the output schema, 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?

Because an output schema exists, the description did not need to enumerate return fields, yet that is where most of its budget went. The genuinely missing pieces for a one-parameter lookup with 0% schema coverage are input format and not-found behavior, leaving it only minimally sufficient.

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%: the single parameter name_or_slug carries only length bounds and no explanation. The description does not clarify whether a display name, a slug, or a partial match is accepted, nor case sensitivity or collision behavior when multiple companies share a name — exactly the meaning the schema fails to supply.

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 specific resource — a single startup profile on ByteTrail Market — and enumerates its contents (description, website, location, founders, funding rounds, GitHub/Hugging Face). An agent can tell this is a single-entity lookup rather than a list or search. It stops short of differentiating itself from siblings like search or funding_rounds, which likely return overlapping data.

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?

There is no explicit when-to-use or when-not-to-use guidance. Nothing says whether to call search first to discover the slug, or whether funding_rounds is the better choice for cross-company funding analysis, even though both siblings clearly overlap with this tool's scope.

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