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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered. The description adds genuine value by saying what the document contains (per-platform total, delivery fee included when known) and that a report variant may be returned. It still does not explain the 'rapor' case or the shape of the price data, so it improves on annotations without fully characterizing the result.

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?

It is a single sentence with no filler, and it front-loads the key qualifier (the id comes from search). The phrasing around 'platform platform' and the dangling 'ya da rapor' is slightly awkward but nothing is wasted.

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 one-parameter read tool with no output schema and fully covered annotations, the description plus structured fields are close to sufficient. However, the undefined 'rapor' return variant and the absence of any hint about how the per-platform price data is arranged leave a real gap in the response description.

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% and the single id parameter is already documented as 'the id from the search result, as-is'. The description reinforces this but adds no syntax, format, or edge-case meaning beyond the schema, so baseline 3 applies.

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 identifies a concrete verb+resource pair (fetch the full text of the document whose id came from search) and even previews the payload: per-platform total price including delivery, or a report. It is distinguishable from the search sibling because it explicitly consumes a search-returned id. The only fuzziness is the unexplained 'rapor' alternative, which leaves the second possible return type ambiguous.

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?

Usage is implied by the phrase 'search sonucundaki' — the agent is meant to call search first and then pass the returned id here. There is no explicit statement of when not to use it or which sibling handles the same information (e.g., urun_karsilastir, hangi_uygulama_ucuz), so the agent has to infer sequencing and boundaries.

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