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

With no annotations, the description carries the full burden, and it does disclose two useful traits: this is a write operation and it requires CUQU_API_KEY. It still omits whether redemptions are idempotent, what happens on duplicate/invalid codes, and whether the action is reversible.

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 tight sentence with the operation and auth requirement front-loaded. It is efficient, though the brevity is partly under-specification rather than discipline.

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 annotations, no output schema, and 0% parameter documentation, the description leaves too much unstated: what the return value is, error/duplicate handling, and the meaning of the code parameter. It is insufficient 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?

Schema description coverage is 0% and the description offers no explanation of either parameter. It never clarifies that code is the check-in voucher/credential and activity_id identifies which event it belongs to, nor why code is optional when activity_id is required.

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 action (on-site event check-in/redemption) with the write nature flagged, which is more than a tautology. However, it doesn't differentiate itself from siblings like register_event or get_activity_card, so an agent must infer that this is the redemption/verification step rather than registration.

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 indication of when to use this tool versus register_event or query_activities, and no preconditions beyond the API-key requirement. The agent gets no routing guidance.

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, and it does disclose two meaningful traits: this is a write operation and it requires a CUQU_API_KEY via a managed gateway (an auth requirement). However, it says nothing about side effects, validation failures, duplicate handling, or what the submission returns.

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 that front-loads the action and resource, with operational caveats in parentheses. Efficient, though the parentheses pack multiple concerns together.

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?

A mutation tool with no annotations, no output schema, and eight undocumented parameters at 0% coverage needs substantially more: field semantics, required-vs-optional guidance, and result behavior. The current description leaves most of what an agent needs unaddressed.

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?

Eight parameters (five required) with 0% schema description coverage, yet the description mentions no parameter at all — not even which fields are mandatory. It does not compensate for the coverage gap in any way.

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 ('主理人发布新活动' — host publishes a new activity), which is clearly distinguishable from sibling reads like query_activities and get_activity_card. It does not explicitly name or contrast with any sibling tool, so it falls short of a 5.

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 when-to-use or when-not-to-use guidance is given. The parenthetical '写操作' implies this is the mutation counterpart to the query tools, but the agent must infer that relationship rather than being told to prefer this tool over register_event or alternatives.

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 and does disclose two useful traits: it is a write operation and it requires the CUQU_API_KEY credential. It omits idempotency, what happens on existing/duplicate payment, and what the call returns, so mutation behavior is only partially transparent.

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 dense sentence with the action, target, and credential requirement front-loaded; nothing redundant. It is efficient, though extremely terse for a mutation 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 write/payment tool with no annotations and no output schema, the description should disclose what the call produces (payment params, prepay id, redirect) and side effects. It mentions only the write nature and API key, leaving the agent under-informed about the call's outcome.

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%, so the schema does not document order_id at all, and the description only indirectly implies it is a registration-order identifier. The remaining semantics (format, provenance) are left to the parameter name, giving marginal added value.

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 (create WeChat payment) plus the target object (registration order), which clearly separates it from siblings like query_activities or register_event. It does not, however, name any sibling alternative.

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 phrase 'for registration orders' implies context but gives no explicit when-to-use trigger, prerequisite state, or exclusion relative to siblings such as generate_urllink or register_event. An agent must infer when this step belongs in the flow.

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 usefully discloses that the output is a share link plus a mini-program path usable directly to invoke WeChat, which compensates somewhat for the absent output schema. However, it says nothing about permissions, whether generation is side-effect free or creates a persistent link, or any rate/expiry behavior.

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 compact sentence with the primary output front-loaded and a useful parenthetical clarifying downstream use. Nothing is wasted, though there is no structure for an agent to scan beyond the single line.

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 this is nearly adequate, and it partially covers return values in the absence of an output schema. What is missing is the identifier semantics and any operational caveats, which the thin schema and absent annotations do not supply.

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 single activity_id parameter is documented only as a required string with no meaning attached. The description adds no clarification of what an activity_id is or where it comes from, leaving the schema to do all the work it cannot do.

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?

Names a specific verb (生成) and the two concrete artifacts produced (分享链接 and 小程序路径), which is far more informative than the tool name generate_urllink. It does not explicitly contrast with siblings like create_activity or register_event, so it stops short of a 5.

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 when-to-use or when-not-to-use guidance, and no alternative is named. The purpose implies it is used when sharing an activity, but the agent must infer that entirely.

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 behavioral burden. '获取' implies a non-mutating read and the field list hints at the payload contents, but it says nothing about permissions, whether the activity must be published/visible, or error behavior when the id is unknown.

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 compact sentence, front-loaded with the action and resource, with the field enumeration parenthetically appended. No filler, though the parenthetical field list makes it 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?

With no output schema and no annotations, the description does helpfully enumerate the returned fields, which is more than most. But it omits access requirements, failure modes, and sibling routing, leaving real gaps for a tool an agent must pick correctly.

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?

Only one parameter (activity_id) at 0% schema coverage, but it is self-evident and the description's '指定活动' confirms it identifies the target activity. No format or syntax guidance is added, so this lands at the single-obvious-param baseline.

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 (获取) and resource (指定活动的完整详情卡片) and even enumerates the fields returned. However, it never distinguishes itself from the sibling query_activities, which an agent could easily confuse it with for detail retrieval.

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 when-to-use guidance and no mention of alternatives. With query_activities sitting as a sibling, the description gives the agent no basis for choosing this card-fetch tool over a general activity query.

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 full burden. It usefully discloses that results are live, public platform data (real-time freshness, read-only nature), but omits pagination behavior, result limits, and response shape. Some behavioral value, but far from complete.

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 compact sentences with the core purpose front-loaded and the domain scope following. Little waste, though the exhaustive category enumeration is more marketing than operational detail.

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?

No output schema and no annotations, so the description must carry the load. It conveys the domain and data provenance well, but leaves return format, pagination and result-size behavior undocumented for a query tool whose parameters are all optional.

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%, so the schema already documents city, date and activity_type. The description reinforces category/city breadth (100+ 品类, 10+ 城市, 含中国香港) but adds no syntax or format rules beyond the schema. 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?

States a specific verb (查询) and resource (线下活动) plus the platform scope, categories, cities and data source. It clearly differs from query_venues (venues) and get_activity_card, though it never names those siblings explicitly.

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 is entirely about what data exists on the platform, not about when to invoke this tool versus get_activity_card, query_venues or create_activity. No conditions, prerequisites or alternatives are given; usage is only implied by the parameters.

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. It discloses that results include capacity and per-person price, but says nothing about read-only nature, permissions, result limits, or ordering — thin for a directory query with zero structured behavioral hints.

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 with no filler; the resource and matching criteria come first. It is compact and earns its space, though it packs caveats into a parenthetical rather than prose.

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?

With no output schema, the description usefully previews returned fields (capacity, per-person price). However, with no annotations and 0% schema coverage, gaps around result count, permissions, and parameter formats remain.

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 both parameters are bare strings, so the description must compensate. It does name the two matching axes (city, activity type), but adds no format, casing, or accepted-value guidance for either.

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 (查询) and resource (合作场地目录), plus the matching axes (city, activity type). It is clearly distinct from siblings like query_activities, though it never names an alternative explicitly.

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 parenthetical hints at how matching works, but there is no statement of when to use this tool versus query_activities or any other sibling, and no prerequisites or exclusions are given.

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 behavioral burden, but it does add two useful facts: this is a write operation and it requires CUQU_API_KEY. It says nothing about duplicate registrations, capacity limits, reversibility, or failure modes, which are the main risks for an enrollment write.

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 no waste, and the write/auth caveat is parenthetically attached to the action. Slightly terse given the gaps it leaves, but structurally sound.

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 2-parameter write tool with no annotations, no output schema, and 0% schema coverage, the description covers auth and the write nature but leaves parameter semantics and failure behavior unexplained. It is minimally viable rather than complete.

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 neither parameter is documented in the schema. The description implies activity_id (指定活动) but never explains what user_id is, whether it can be omitted for the authenticated user, or what format either ID takes.

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 (报名/register) and resource (活动/activity), and the user-for-activity relationship is clear enough to distinguish it from siblings like create_activity or query_activities. It stops short of explicitly naming an alternative, so it is clear but not fully differentiated.

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 statement of when to use this tool versus alternatives such as create_activity, check_in, or query_activities. The intended context is only implied by the verb 报名.

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