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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds real value by disclosing that the package is bounded and source-attributed, grouped by source, and explicitly not a completeness guarantee. It still doesn't say what happens with no matching sources or how truncation is surfaced.

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?

Two dense sentences with the purpose front-loaded before the resolver/filter details and the disclaimers last. "Bounded, source-attributed evidence package" is slightly jargony but each clause carries 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, the description usefully states that results are grouped by source, which is the key return-shape fact. Combined with the scope limits and annotations, an agent has enough to invoke it correctly; only truncation and empty-result behavior are unaddressed.

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 0%, so the description must compensate. It does explain the company parameter (Cyrillic/Latin name or ticker resolution) and implies the date-range filter, but "limit" and the interplay between days and limit are never described beyond the vague word "bounded". Partial compensation only.

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?

A specific verb and resource: it builds a source-attributed evidence package for an MSE issuer, and it enumerates the source classes it aggregates (filings, news, FinPortal editorial, public stories, document metadata). That implicitly separates it from single-source siblings like get_company_news or get_seinet_filings, though it never names them.

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?

"Use for company research" gives clear context, and the negative clauses rule out live market data, investment advice, and completeness claims. What's missing is explicit routing: nothing says when to pick this over get_company_timeline or resolve_company.

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