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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only states that the operation completes in a single tool call; it does not reveal how invalid items are handled, whether downloads are returned as files or links, whether the operation is atomic, or any 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?

The description is only two short sentences and avoids redundancy. The first sentence states the core operation, and the second adds a relevant use case; every part contributes to decision-making.

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 annotations, no output schema, and a nested array parameter, the description is under-specified. An agent cannot tell what the tool returns, how batching failures are reported, or what valid formats/chapter codes are beyond raw schema definitions. This is not enough for reliable autonomous 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 coverage is 0% and the description does not compensate by explaining the items parameter or its sub-fields. The statement 'batch download multiple specifications' broadly implies items is a list of specifications, but it adds no meaning beyond the schema's own nested property descriptions.

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 ('批次下載多個規範' – batch download multiple specifications) and explicitly notes that it is completed in one tool call. This separates it from the singular download_specification sibling and from the search/list siblings.

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 '一次 tool call 完成' and '適合自動化任務' imply this is for downloading multiple specifications at once, particularly in automated workflows. However, it does not explicitly state when to prefer this over download_specification or list_chapters, nor does it mention any exclusions.

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 must disclose behavior. It states the action (download) but does not mention output format, file delivery mechanism, authentication requirements, or any side effects. For a non-mutating tool, the lack of such context earns more than 1, but it still leaves significant ambiguity.

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, efficient sentence with no filler. It is front-loaded with the action and scope, though it is almost too terse to add context beyond the tool name.

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 schema documents all parameters, including an enum for format, so the agent can construct a valid call. However, the description does not clarify the role of keyword/chapter in the download flow or what the tool returns, and there is no output schema. This leaves the tool under-specified for a 4-parameter operation with no annotations.

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 100% with descriptions for all four parameters (name, format, chapter, keyword), so the baseline is 3. The description itself adds no parameter-specific meaning, but it also doesn't conflict with 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 uses the verb '下載' with the resource '規範文件' and specifies '單一特定', clearly distinguishing it from batch_download_specifications. It is clear what the tool does, though it does not explicitly reference sibling alternatives.

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 provided about when to use this tool instead of search_specifications, list_chapters, or batch_download_specifications. The word 'single' implies a contrast with batch download, but there is no explicit selection criteria or prerequisite instructions.

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 of behavioral disclosure. It does disclose that the list is dynamically read from the website's select dropdown, implying a live fetch rather than a static lookup, and the verb suggests a read-only operation. However, it does not mention potential network dependencies, failure modes, or what the returned list looks like.

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 the main action front-loaded and the source detail in a parenthetical. It is concise, clear, and contains no filler.

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 no-parameter list tool, the description is mostly sufficient: an agent can invoke it directly and expect a list of chapter categories. It could clarify what the chapters belong to or how the list should be used with sibling tools, but that is a minor gap given the simple signature.

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, so the schema already fully covers the input surface. The description does not need to add parameter details; the baseline of 4 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 uses a specific verb '取得' (get/retrieve) and names the resource: all available chapter category list. It also distinguishes itself from sibling tools by indicating the source is the website's select dropdown, which is clearly different from searching or downloading specifications.

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 guidance about when to use this tool versus the sibling tools. It does not mention whether the chapter list is meant to feed into search_specifications or how it relates to download operations.

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. It genuinely discloses the empty-keyword list-all behavior, which goes beyond the schema. However, it does not disclose what the search returns (matches, summaries, metadata), result limits, or whether results are full content — significant for a read/search tool with zero annotation coverage.

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 short sentences, zero filler. The core purpose is front-loaded, and the keyword behavior follows immediately. 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?

For a two-parameter search tool with fully documented params, the description is adequate: it covers the search purpose and the empty-keyword case. Gaps remain: no output-schema exists so return-value behavior goes undescribed, and no guidance distinguishes this from list_chapters, which an agent would need to route correctly among four siblings.

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 baseline is 3; both chapter and keyword are already documented with examples. The description adds one extra semantic — the behavior when keyword is empty — which is a real but marginal addition beyond the 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 states a specific verb and resource — '搜尋施工綱要規範' (search construction outline specifications) — and adds a behavioral clause about listing all specs when keyword is empty. It is distinguishable from sibling download tools at the verb level, though it does not explicitly name the sibling it competes with (list_chapters).

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 one implicit usage instruction: leave keyword empty to list all specifications in a chapter. However, it offers no explicit when-to-use versus list_chapters (which likely also lists data) or the download tools, and no exclusions. The usage context is inferable but not stated.

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