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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds value by listing the fields returned, which matters since no output schema exists. It does not disclose ordering details, whether 'adet' caps at 20, or what happens with an unknown topic label.

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 short sentences, front-loaded with the resource and recency scope, with no filler or repetition. The compression is efficient, though the field list and filter note could have been formatted more scannably.

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 no output schema, the description covers purpose, returned fields and the available filter — enough to call it correctly. The remaining gap is not explaining the 'adet' count parameter's effect and not routing among the sibling tools.

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 50%: 'konu' is documented in the schema, but 'adet' is bare apart from min/max/default. The description compensates for 'konu' by supplying real example topic values (no enums exist in the schema), which is genuinely useful, but it says nothing about 'adet' semantics — whether it means item count or pagination size.

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 verb+resource pair ('en son yayımlanan yazılar' — most recently published posts) and enumerates what each item contains (başlık, konu, yazar, tarih, kısa özet, bağlantı). It implicitly separates itself from yazi_ara by emphasizing recency rather than searching, but it never names that sibling, so differentiation is inference-based.

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?

The optional topic filter with concrete topic examples ('ör. Haber, Girişimcilik, Hukuk, Satış, Araç') gives practical usage context for narrowing results. However, there is no explicit statement of when to choose this over yazi_ara (search) or yazi_ozeti (summary), and no exclusions or prerequisites.

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