Cadourile.ro

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

No annotations are provided, so the description carries the full burden. It discloses that it only works on the user's own reservation, but does not mention mutation semantics, error conditions (e.g., attempting to cancel others' reservations), reversibility, or any side effects. It is minimally transparent for a mutation 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?

The description is two short sentences, front-loaded with the primary action and scope. Every word contributes meaning; there is no fluff or repetition. It is appropriately sized for a simple tool.

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 mutation tool with no output schema and no annotations, the description should cover parameter meaning, expected behavior, and potential errors. It covers only the action and a scope constraint. It does not explain how gift_id is used, what happens on failure, or how this differs from unreserve_gift. This is incomplete for reliable invocation.

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?

The description does not mention gift_id at all. With 0% schema description coverage, the agent must infer that gift_id refers to the gift whose reservation is being cancelled. The schema only provides the type (integer) and requirement, not the semantic meaning. This is a critical gap for correct invocation.

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 clearly states the action: cancels the user's own reservation (as guest) on a gift from another user's list. The verb 'anulează' is specific, the resource is 'propria rezervare' (own reservation), and the scope 'de pe un cadou de pe lista altcuiva' (on a gift from someone else's list) distinguishes it from reservation-related operations on one's own gifts.

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 does not explicitly compare with sibling tools like unreserve_gift or update_my_reservation. It only states a constraint ('works only on the user's own reservation'), which is a precondition, not a usage guide. No when-to-use or when-not-to-use guidance is provided.

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 present, the description carries the full burden of disclosing behavioral traits. It does disclose two meaningful non-obvious behaviors: URLs are not automatically scraped, and allows_contributions auto-activates when price >= 200 RON. However, it does not describe side effects beyond creation, permission requirements, failure modes, or what the function returns, which leaves gaps in transparency.

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 starts with a clear one-sentence summary, followed by a well-organized Args block. Every line adds necessary information—parameter meanings, constraints, and default behavior—without redundant filler. It is efficiently structured and easy to scan.

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 tool with 6 parameters and no output schema, the description covers the essential inputs and important edge-case behavior (URL handling and contributions default). It lacks details like required list existence and return value, but the provided information is sufficient for an agent to invoke the tool correctly in most scenarios.

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 compensate. It explains each parameter's meaning—list_id, name (required), description (optional), price in RON, url, and allows_contributions—and adds crucial semantics like the URL not auto-extracting metadata and the conditional default for contributions. This is far more valuable than the bare schema.

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 opens with a clear, specific action: 'Adaugă un cadou nou într-o listă' (Add a new gift to a list). This identifies the verb (add), resource (gift), and target (list), making its purpose immediately obvious and distinct from sibling tools like create_gift_list, update_gift, or reserve_gift.

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 an explicit alternative for URL handling: it instructs to use extract_gift_metadata(url) first instead of relying on this tool to extract metadata, mirroring web form behavior. It also clarifies that allows_contributions has an automatic default when not specified. These are practical usage guidelines, though it does not directly contrast with update_gift or other create-related siblings.

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 provided, the description carries the full burden of behavioral disclosure, and it only explains parameter meanings. It does not state what the operation returns, whether it is idempotent, what side effects occur for event-type fields, or how failures manifest. For a creation tool with event-related behavior, this is a significant transparency gap.

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 one-line purpose statement is front-loaded, followed by a clean, alphabetically-ordered Args list where every line earns its place by adding format, enum, or requiredness information. No filler or repetition. Minor deduction for the Romanian-language description in an otherwise English context, which slightly reduces scannability.

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?

Parameter documentation is thorough, but the operational context is incomplete for an 8-param creation tool with event semantics. Missing elements include the return value, whether the created list is immediately usable, and how is_event_with_guests interacts with other event fields. The description covers the 'what the parameters mean' layer well but leaves behavioral and response aspects undocumented.

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 description fully compensates. It documents all 8 parameters with meaningful semantics: name is marked obligatory, event_type lists all six allowed values, and both event_time and rsvp_deadline specify the ISO 8601 format with an example. This is exactly the value the schema fails to provide.

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: 'Creează o listă de cadouri nouă' (Creates a new gift list). This clearly distinguishes it from sibling tools like create_gift (creates a gift, not a list) and update_gift_list (updates, not creates). However, it does not explicitly name or contrast against these siblings — the differentiation is implicit in the resource noun.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of when to choose create_gift_list over create_gift, nor any exclusion criteria. The Args section documents parameters but offers no decision context, leaving the agent to infer usage purely from the tool name.

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 provided, the description carries the full burden of behavioral disclosure. It transparently reveals server-side rate limiting (100 requests/day, per account or IP) and instructs not to call repeatedly for the same URL, which is critical operational context. It also implies a read-only behavior by describing extraction rather than mutation. However, it does not mention error handling or response format specifics, which would strengthen transparency further.

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 concise and well-structured. The first sentence immediately states the tool's function and output fields, while the second provides usage guidance and rate-limit warnings. Every sentence adds value without redundancy, and the key information is front-loaded. It is efficient and easy to parse.

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 tool with one parameter and no output schema, the description covers the essential aspects: what it does, how to use the result, and rate-limit behavior. It lacks explicit error-handling or failure scenarios, but that is not critical for a basic extraction tool. Overall, it provides enough context for an agent to correctly invoke and use the tool.

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?

The schema has only one parameter 'url' with 0% description coverage, so the description must compensate. It clarifies that the url is a product link ('de pe un link') and implies it should be a valid web link, which is adequate for the agent. However, it doesn't specify URL format expectations or edge cases like invalid links, leaving some ambiguity. The description adds enough to understand the parameter's purpose but not full semantics.

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 clearly states the tool extracts metadata (title, description, image_url, price) from a link, and explicitly names the web-form equivalent it mirrors. This distinct action (extracting vs. creating/updating) sets it apart from siblings like create_gift and update_gift, which are mentioned as consumers of the result.

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 explicitly tells the agent to use the result to fill arguments of create_gift/update_gift, giving a clear intended workflow. It also advises against repeated calls for the same URL, which is a usage constraint. While it doesn't list alternative tools to avoid, the context is sufficient for an agent to know when to invoke this tool.

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?

There are no annotations, so the description carries the burden of behavioral disclosure. 'Obține' implies a read operation humaine, and 'inclusiv statusul de rezervare' adds useful detail about the response content. However, it does not mention error behavior, authorization needs, or lack of side effects.

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 sentence that front-loads the core action and includes the key additional detail about reservation status. There is no wasted wording or unnecessary repetition.

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?

The tool is simple—one parameter, no output schema, no nested objects—and the description covers the main return content. Still, without annotations or an output schema, it leaves gaps around what exactly is included in 'detaliile' and how errors are surfaced.

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 only one parameter, gift_id, and 0% schema description coverage, the description provides minimal compensation by making clear the tool concerns a 'cadou' (gift). It does not further explain the semantics of gift_id, but the parameter name and resource context make it reasonably inferable.

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 uses a specific verb ('Obține detaliile' / get details) and a clear resource ('unui cadou' / a gift), and further scopes the result to include reservation status. This distinguishes it from create, update, and list siblings, though it does not explicitly name an alternative tool.

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 states what the tool does but gives no guidance on when to choose it over alternatives, nor does it mention exclusions or prerequisites. Usage context is only implied by the verb 'Obține' and the singular gift resource.

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 are present, so the description carries the full burden. It does convey that this is a read-style retrieval and that the result includes the gifts inside the list. However, it does not disclose access requirements (owned vs. invited lists), error behavior, or whether the gift list details are summarized or full.

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?

One short sentence, front-loaded with the action and object, and the only detail (included gifts) earns its place. There is no filler or redundant structured data.

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, the description states the resource and the main return content (details plus contained gifts). It is adequate as a minimal definition, but it omits usage context (e.g., which sibling to use for listing all lists) and any conditions under which the operation fails or is unauthorized.

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?

The schema provides only a bare list_id integer with no description (0% coverage). The tool description only indirectly suggests list_id identifies the gift list; it does not explain how list_id is obtained, any constraints, or what the ID refers to. For a low-coverage schema the description should compensate more.

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 uses a specific verb ('Obține'/'get') with a specific resource ('o listă de cadouri'/'a gift list') and adds the scope 'including the gifts in it.' This differentiates it from sibling tools like get_gift (single gift) and list_gift_lists (multiple lists).

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?

No guidance is given about when to choose get_gift_list over list_gift_lists, get_gift, or list_invited_lists. The context must be inferred entirely from the tool name and sibling list, so an agent gets no explicit when/when-not direction.

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?

The description conveys that this is a read-style listing operation scoped to the authenticated user, which is useful behavioral context. But with no annotations provided, important behavioral details such as whether the response includes gift items, whether results are paginated, and the exact ordering remain unspecified.

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 a single front-loaded sentence with no redundant wording. Every element—action, resource, and scope—adds value, making it an example of efficient tool documentation.

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 zero-parameter list operation, the description provides the essential purpose and scope needed to select and invoke the tool among siblings. It does not describe the response structure or whether nested gift items are included, but the operation is simple and the description is otherwise sufficient for correct invocation.

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?

The tool has zero parameters and the input schema is empty, so the schema fully covers the input space. The description adds the meaningful semantic detail that the relevant user is the authenticated user, resolved from the session rather than supplied as an argument.

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 uses a specific verb ('listează' / lists) with a clear resource ('all gift lists') and a precise scope ('of the authenticated user'). This scope distinguishes it from sibling tools like list_invited_lists, so an agent can immediately tell which list-oriented tool is appropriate.

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 clearly implies when to use the tool: when the agent needs the authenticated user's own gift lists. However, it does not explicitly mention alternatives such as list_invited_lists for shared or received lists, nor get_gift_list for retrieving a single list, so the when-not-to-use guidance is only implicit.

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 are provided, so the description carries the behavioral disclosure burden. It reveals the invitee-only scope and that each entry includes RSVP/reservation status, which is useful. However, it does not explicitly state read-only behavior, authentication requirements, or potential side effects, though the list verb implies a safe read operation.

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 two concise sentences, front-loaded with the main purpose and then adding the entry-status detail. There is no filler or redundant information.

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 zero-parameter list tool with no output schema and no annotations, the description covers the essential context: the scope (invited, not owner) and what each returned entry contains (RSVP/reservation status). It does not mention pagination or ordering, but those are minor gaps for a tool of this simplicity.

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?

The tool has zero parameters and schema description coverage is 100%, so there is nothing for the description to add. This is the baseline 4 for a parameterless tool.

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 uses a specific verb ('Listează') and resource ('evenimentele la care userul e invitat (nu proprietar)'), and explicitly excludes owned lists. The reference to the 'La care particip' tab makes the tool's role unmistakable and distinguishes it from list_gift_lists and list_my_invited_reservations.

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 provides clear context: use this tool when you need lists/events where the current user is an invitee, not the owner. It includes an exclusion ('nu proprietar') but does not explicitly name sibling alternatives or state when not to use it.

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 full burden. It implies a read-only listing operation and discloses that the result contains a gift_id. However, it does not explicitly state there are no side effects, nor mention pagination, ordering, or permission requirements. The behavioral disclosure is adequate but not comprehensive.

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 two sentences with no wasted words. The first sentence states the core purpose and scope; the second explains how to use the result. It is front-loaded and concise.

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 zero-parameter list tool with no output schema, the description provides sufficient context: it explains what is listed, the scope, and that the result contains a gift_id for further actions. It does not describe the full result shape, but the key field is called out, which meets the needs of an agent.

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?

The tool takes zero parameters, so schema coverage is complete. The description adds no parameter details because none are needed. The baseline for zero parameters is 4, and the description meets it.

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 clearly states the tool's function: it lists the user's own reservations/confirmations on other people's lists (as invitee), explicitly excluding the user's own lists. This distinguishes it from list tools for one's own lists. The mention of using gift_id with update/cancel also clarifies its place in the workflow.

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 provides clear usage context: it is for viewing reservations on others' lists, not one's own. It also gives actionable guidance by telling the agent to use the returned gift_id with update_my_reservation or cancel_my_reservation. However, it does not explicitly name a sibling tool as an alternative for one's own lists, though the exclusion implies it.

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 are present, so the description carries the burden itself. It discloses a non-obvious server behavior: reserver_name is always retained server-side even for anonymous reservations and only hidden from other guests, which is valuable privacy-relevant context. It does not cover duplicate-reservation errors or auth requirements, but it provides meaningful beyond-schema behavioral detail.

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 compact and front-loads the purpose before the parameter details. The parenthetical explanations earn their place because they clarify required-but-hidden behavior. It could be slightly tighter, but it is well organized and not bloated.

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?

The tool is simple and all parameters are covered, but there is no output schema, no annotations, and no statement about what happens if the gift is already reserved or whether the reservation can be undone. An agent can invoke it successfully, but it cannot predict edge-case or failure behavior.

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%, and the description fully compensates by explaining all three parameters: gift_id, reserver_name with its mandatory and server-side retention nuance, and privacy_mode with its allowed values and default. This adds meaning far beyond the bare input schema.

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 opens with 'Rezervă un cadou' and explains the effect 'marchează-l ca luat', so an agent knows exactly what action is performed and why. This clearly distinguishes it from opposite actions like unreserve_gift and cancel_my_reservation. It is specific, action-oriented, and not a tautology.

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 explicit when-to-use or when-not-to-use guidance, and no alternative sibling tool is named. The privacy_mode explanation helps choose parameter values, but not when this tool should be selected over cancel_my_reservation or unresolved variants. That selection is left entirely to inference.

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 are provided, so the description carries the full burden of behavioral disclosure. It conveys a state-changing operation and the effect (gift becomes available again), but omits preconditions (gift must be reserved), authorization requirements, side effects on the existing reserver, error behavior, and whether the operation can fail.

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 compact sentence with zero redundancy. The verb, object, and clarifying effect are all present, and the key outcome is front-loaded. Appropriately concise for a simple one-parameter operation.

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?

Complexity is low (one required param, no output schema, no nested objects), so a short description could suffice. However, the presence of the near-identical sibling cancel_my_reservation and the absence of return-value/error information leave an agent under-informed when selecting and invoking this mutation.

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 should compensate. It connects the action to 'un cadou' (a gift), which gives gift_id semantic context, but it never explicitly states that gift_id identifies the gift whose reservation is canceled — this is inferred from the parameter name alone. Some compensation, but thin.

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+resource: 'Anulează rezervarea unui cadou' (cancels a gift's reservation), and the parenthetical 'îl face din nou disponibil' (makes it available again) clarifies the outcome. It clearly communicates what the tool does, though it does not explicitly distinguish itself from the similar sibling cancel_my_reservation.

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?

No guidance is given on when to use this tool versus cancel_my_reservation or reserve_gift. With a sibling named cancel_my_reservation, an agent would struggle to decide which tool to invoke, and no conditions, exclusions, or alternatives are mentioned.

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 provided, the description carries the behavioral burden. It usefully discloses a partial-update behavior ('Trimite doar câmpurile de schimbat') and an existing-resource precondition, but it does not mention permissions, response behavior, validation, or failure modes.

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 two short sentences with the action stated first and a direct usage rule second. There is no redundant or filler language.

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 mutation tool with five parameters, no annotations, and no output schema, this description is too thin. It covers the partial-update rule but omits parameter-level details, return value expectations, and edge-case behavior that an agent would need for confident invocation.

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 compensate, but it only says to send changed fields and does not explain gift_id, name, price, url, or description individually. This is a minimal improvement over the raw schema and leaves most parameter semantics to inference.

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 uses a specific verb, 'Actualizează', and a specific resource, 'un cadou existent'. The word 'existent' clearly distinguishes this from create_gift, and the resource 'cadou' distinguishes it from update_gift_list.

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 second sentence, 'Trimite doar câmpurile de schimbat', gives clear guidance on how to use the tool: send only fields that need changing. However, it does not explicitly say when to choose this tool over alternatives like create_gift or get_gift, leaving that inference to the agent.

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?

The description discloses the partial update behavior ('Send only the fields to be changed'), which is valuable beyond the schema. However, with no annotations provided, the description carries the full burden for behavioral disclosure. It does not mention permissions, error handling, side effects, or the return value, leaving significant gaps for a mutation 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?

The description is a single sentence with no redundant words. It front-loads the action and the key behavior, making it highly efficient and easy to parse. Every word earns its place.

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?

The tool has 6 parameters and no output schema. The description only states the action and partial update behavior. It does not describe what the tool returns after update, error conditions, or prerequisites such as list existence. Given the absence of annotations and output schema, the description is incomplete for an agent to fully understand the tool's behavior.

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 compensate. It clarifies that only fields to be changed should be sent, giving semantic meaning to the optional parameters. However, it does not explain each parameter's specific meaning, though the names (name, event_time, description, rsvp_deadline, event_location) are self-explanatory. The partial update instruction is key but not exhaustive.

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 clearly states 'Actualizează o listă de cadouri existentă' (Update an existing gift list), specifying the verb and resource. It distinguishes from create_gift_list by mentioning 'existing' and from get_gift_list by the update action. The instruction 'Trimite doar câmpurile de schimbat' adds clarity about partial updates, making the purpose unambiguous.

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 implies the tool is for updating an existing list, which differentiates it from creation or retrieval, but it does not explicitly mention alternatives or when not to use it. There is no reference to sibling tools like create_gift_list or get_gift_list. The 'existing' wording gives a hint but lacks explicit guidance on selection criteria.

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 provided, the description carries the full burden, and it does so well: it discloses that this is a mutation of an existing own reservation, that it cannot affect other participants' reservations, and that it follows partial-update semantics. It does not describe error behavior or side effects, but the key behavioral constraints are clearly stated.

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 compact and well-structured: a front-loaded lead sentence with examples and restrictions, followed by a clear Args list. Every sentence adds relevant information, making it easy for an agent to scan purpose, constraints, and parameters.

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 five-parameter mutation tool with no annotations and no output schema, the description is fairly complete: it covers purpose, scope, partial updates, and all parameters. It does not describe return values or failure conditions, but an agent has enough information to invoke the tool correctly for the stated use case.

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 Args section compensates by giving every parameter a meaningful description: gift_id identifies the gift with an existing own reservation, notify_on_changes explains event-change notifications, and counts and message are defined. The partial-update guidance adds semantic value beyond the schema, although constraints like allowed count ranges are not specified.

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 specific operation (update own reservation/confirmation), a specific resource (a gift on someone else's list), and gives concrete examples such as changing adult/child counts or the message. It also clearly scopes the tool to the caller's own reservations, distinguishing it from sibling tools like reserve_gift, cancel_my_reservation, and update_gift.

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 clearly establishes when to use the tool: when a guest already has a reservation on a gift and wants to modify it. It explicitly excludes other guests' reservations and instructs the agent to send only changed fields. It does not name alternative tools explicitly, but the scope and examples make the intended use unambiguous.

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