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

Annotations declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: it orchestrates multiple searches internally, returns a synthesized narrative with source citations, and scopes the underlying corpus. It does not discuss latency/cost of the multi-search orchestration, which would push this to a 5.

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?

Front-loads the core purpose and keeps the routing guidance tight and readable in three short paragraphs. The trailing Args block duplicates the schema verbatim, which is the one non-earning portion.

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?

Output schema exists, so return format needn't be explained, and annotations cover the safety profile. Combined with explicit sibling routing and corpus scope, an agent has everything needed to select and call this tool 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 description coverage is 100%, so the baseline is 3. The Args block largely restates the schema's own parameter descriptions ('Company name or ticker', 'Question to answer') without adding format constraints, examples beyond the schema, or limits on question phrasing.

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?

States a specific verb+resource ('company analysis') and a precise scope ('Nordic financial data', 'annual reports, quarterly reports, press releases and macroeconomic context'). It also explicitly differentiates itself from siblings search_filings and company_research, so an agent can route without opening another schema.

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?

Gives an explicit selection rule: use this for a synthesized answer, use search_filings or company_research for raw data, and name a third destination (Alfred MCP) for full due diligence reports. When-to-use, when-not-to-use, and alternatives are all present.

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