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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds value by naming the returned fields (dönem, değer, birim, kaynak) even though there is no output schema, and it notes that no API key is required. It does not explain pagination or ordering beyond what the schema's adet note covers, so it is strong but not exhaustive.

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 description is four compact sentences: purpose first, then when to use, then parameter provenance, then the no-key note. Each sentence carries information, though the parenthetical field list and the dataset enumeration are slightly dense.

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 six-parameter read tool with no output schema, the description discloses the shape of returned rows, the source of the required slug, filtering options, and that no auth is needed. The remaining gap is the year-range parameters, which have no explanation in either the description or the schema.

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 67%, and the description adds real meaning for slug (it must come from veri_ara/veri_getir) and for seri/grup (substring matching, with the province-name example for provincial datasets). baslangic_yili, bitis_yili, and adet have no description text in the description, and the two year parameters lack schema descriptions as well, so the coverage gap is only partly compensated.

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 states a specific verb and resource: it fetches the rows of a dataset in Ortak Veri (period, value, unit, source) year by year, and lists concrete dataset examples (inflation, minimum wage, population, provinces). It also implicitly separates itself from veri_ara and veri_getir by noting that those tools supply the slug.

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?

It gives an explicit trigger condition: use this when raw numbers are needed for charts, calculations, or comparisons. It also states the prerequisite that the slug comes from veri_ara or veri_getir and explains that results can be narrowed by seri and grup, which makes the sibling workflow clear.

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