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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds two useful behavioral facts: results are AI-ranked by fit and refreshed daily. However, it omits the most consequential behavior — how the company profile that drives 'fit' is supplied — which is exactly what an agent needs to know before invoking.

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 same sentence appears twice, the first occurrence cut off with an ellipsis, so roughly half the text is duplicated garbage. The core claim is front-loaded, but the repetition and truncation signal a broken definition rather than an economical one.

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, an opaque single 'input' object, and a nested structure, the description needs to explain the input shape and result format. It explains neither, and it leaves the sibling ambiguity with nordic_public_tenders unresolved, so an agent cannot reliably call this 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?

There is one parameter and schema description coverage is nominally 100%, so the baseline of 3 applies. That coverage is only a URL pointer to the Apify listing, and the description adds nothing about what belongs in the nested 'input' object (company profile, sector, geography), so no credit above baseline.

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?

It names a specific verb and resource (match Nordic public tenders to your company, ranked by fit, daily), so the agent knows roughly what it does. But the sentence is truncated mid-thought ('the most relevant….') and then restated, and it never distinguishes itself from the very close sibling nordic_public_tenders, which an agent would have to disambiguate.

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 guidance on when to use this versus nordic_public_tenders or eu_grant_finder, no prerequisite (e.g., a company profile is needed for 'fit' ranking), and no exclusion criteria. The word 'daily' implies a recurring-monitoring use case but the description never states it as a condition.

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