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

No annotations exist, so the description carries the full burden. It does useful work by enumerating what comes back (description, all photos, params, seller), implicitly signaling a read-only single-record fetch, but it says nothing about failure behavior for a missing/expired id, permissions, or rate limits.

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?

A single front-loaded sentence covering purpose, parameter source, and return contents with no filler. The parenthetical is well placed rather than tacked on at the end.

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 tool with no output schema, the description covers what the agent needs to call it and what to expect back. Minor gaps remain around error cases and whether photo/param fields are always present.

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 0% and the schema only constrains id to a positive integer with no description, so the description fully compensates: it specifies 'numeric id' and traces the value's provenance to the 'id' field returned by search_offers.

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 and resource ('Full details of one offer') and pins it to a single numeric id, which cleanly separates it from the list-oriented search_offers sibling. An agent can tell immediately that this is the single-record fetch, not a search.

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?

Explicitly tells the agent the 'id' value comes from search_offers, which is the key usage precondition and establishes the search-then-fetch workflow. It does not address the resolve_olx_url sibling (when to start from a URL instead), so no true when-not guidance is present.

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

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

With no annotations, the description carries the behavioral burden. It usefully discloses that the endpoint is experimental and lists the output parameters, but it does not describe error behavior, validation rules, or side effects for malformed or non-OLX URLs.

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 three short sentences with no wasted wording. It front-loads the conversion purpose, then gives the example and the downstream usage note.

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 converter with no annotations and no output schema, the description covers the essential context: accepted input forms, an example, the output fields produced, and the intended downstream tool. It is only slightly incomplete on failure modes and strict URL validation.

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 0%, so the description must clarify the single required url parameter. It does so by stating that the input may be a full OLX search URL or a path and by giving a concrete example with a query string, though it does not define accepted domains or validation details.

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: convert an olx.pl search URL or path into API parameters, and it enumerates the resulting fields category_id, city_id, region_id, and filters. It also distinguishes the tool from search_offers by telling the agent to use the result there.

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 description gives clear usage context: use this tool when starting from an OLX search URL or path, then pass the result to search_offers. It provides a concrete example URL, but it does not explicitly state when not to use it or describe alternative paths for forming a search directly.

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

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

No annotations exist, so the description carries the full burden, and it discloses meaningful behavior: it is a public JSON API, returns compact offers plus total count and nextOffset for pagination. It omits auth requirements and rate limits, which is a minor gap for a read-only search tool.

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?

Three compact sentences, zero waste. The core action is front-loaded, with the ID precondition and return shape following in logical order.

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 14-parameter search tool with no output schema, the description covers the essentials: API nature, ID requirements, and return shape including total count and nextOffset. It is nearly complete, with only filter-specific semantics and rate/auth context left implicit.

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?

With 21% schema coverage across 14 parameters, the description must compensate, and it does add key meaning: location/category params require numeric IDs resolvable via resolve_olx_url, and nextOffset maps to offset. However, it leaves many filters (priceFrom/priceTo, ownerType, skipPromoted, distanceKm) unexplained beyond the schema, so compensation is only partial.

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 and resource: "Search OLX offers via the public JSON API." This clearly differentiates it from the sibling get_offer (single fetch) and resolve_olx_url (ID resolution). It is clear without explicitly naming what it is not.

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?

Explicitly routes the agent to resolve_olx_url when only names are known, stating the numeric-ID precondition. This is strong alternative-routing guidance. It does not name exclusions such as when to prefer get_offer, but the context is clear enough.

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