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 does disclose an important side effect — a task ID is only created when every check passes — which is genuinely useful behavioral context. It omits what happens on failure (error vs. a non-creating result), permission requirements, and whether the checks have side effects themselves.

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 trigger condition and the outcome, with no filler. Its brevity is efficient rather than padded, though the density contributes to the ambiguity of 'three checks'.

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?

An output schema exists, so return values need not be described. Still, for a four-parameter gate tool with 0% schema coverage and no annotations, the description should define the individual checks and the failure behavior; instead it miscounts them and leaves the agent under-informed to invoke it 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?

Schema description coverage is 0%, so all four booleans (bill_readable, left_login_page, connection_healthy, bank_flow_accessible) have titles only. The description refers generically to 'three read-only checks', which not only fails to explain the individual parameters but actively conflicts with the four-parameter schema, leaving the agent to guess what each flag means.

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 action (evaluating the post-manual-login read-only checks) and a conditional outcome (creating the task ID only if all pass), which is more than a restatement of the name. However, it says 'three read-only checks' while the schema requires four booleans, so an agent cannot fully reconcile what is being judged, and it does not distinguish itself from siblings like startup_status or open_greencloud_oa_command.

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 'after manual login' (人工登录后) gives an implied sequencing condition for when this tool is relevant. There is no explicit when-not guidance and no named alternative among the siblings, so the routing decision is only partially supported.

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 behavioral burden, and it does disclose two real traits: it does not open detail records, and it halts on conflict. That is genuinely useful. But it omits whether the operation is read-only, what the verification number is used for, and what happens to already-processed rows, leaving significant gaps.

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 core action front-loaded and no filler. It is arguably too terse, but nothing is wasted and the structure is 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?

An output schema exists, so return values need no explanation. But for a tool taking an array of opaque row objects plus an optional list of keys, with no annotations and 0% schema coverage, the description is far too thin to call the tool 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?

Schema description coverage is 0% for two parameters, so the description must compensate and largely does not. '列表' loosely hints that rows is a list of records, but historical_keys is never mentioned and no format, shape, or meaning is given for either. An agent cannot populate historical_keys from this description.

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 artifact ('生成列表查重校验号' – generate a list duplicate-check verification number), which is more than a tautology of the name. However, it never clarifies what a '查重校验号' is or how it relates to 'confirm_oa_flow_numbers', and it doesn't distinguish this from siblings like check_oa_readonly_readiness. Purpose is inferable but vague.

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?

'不打开详情，发现冲突就暂停' describes behavior rather than when to choose this tool over alternatives. No sibling tool is named, no precondition or when-not case is stated. The agent must guess when this is preferred over open_greencloud_oa_command or the other readiness checks.

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 well: it discloses that the tool does not connect/read/write/upload/import the real OA, does not compute or echo the full serial number, and does not overwrite the built-in source template. These explicit non-behaviors establish the safety profile clearly, though it stops short of describing idempotency or failure handling beyond the pause condition.

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 front-loaded with the core action, then the input contract, then the constraints, so the most important information comes first. The constraint tail is dense but each clause (safety, no echo, no overwrite) 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 local file-generation tool with an output schema, the description covers purpose, consumed input shape, output artifact, and safety boundaries without needing to explain return values. The only real gap is the absence of explicit sibling routing, but it is otherwise complete 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%, so the description must compensate, and it does: it explains that rows hold structured candidates with full 32-hex serial numbers plus company/account/unit/responsible/claim fields, that source_template is the built-in template (which is not overwritten), and that output_path yields a local XLS. It adds substantial meaning, though the parameter names aren't mapped to their roles as crisply as they could be.

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 opening line states a specific verb+resource: generate a local template copy that can be imported into OA, and it specifies the concrete output (a local XLS). It also explicitly distinguishes itself from real OA operations, so an agent can separate it from siblings like open_greencloud_oa_command without opening a schema.

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?

It states the operating context (consumes structured candidates passed in by the orchestration) and one gating condition (pause if the serial number is missing/truncated), which is useful when-to-run guidance. However, it never names an alternative tool or explicitly says when to prefer this over confirm_oa_flow_numbers or the OA command sibling, so routing is left 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?

With no annotations, the description carries the full burden, and it does disclose one meaningful trait: the tool returns an instruction rather than directly opening the page, implying the caller must execute it. It says nothing about side effects, authentication state, or whether calling it repeatedly is safe.

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 wasted words. It is minimal rather than bloated, though the brevity comes at the cost of the usage and behavioral detail noted above.

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?

An output schema exists, so the return value need not be explained, and there are no parameters to document. Still, the description omits the prerequisite context (browser capability availability) and the fact that the returned command must be executed by the caller, which an agent would need to use it 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?

The tool takes zero parameters, so the baseline is 4. The description correctly implies the login page target is fixed and hard-coded, which is the only semantically relevant fact for an argument-less 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 names a specific action and resource: it returns the instruction that opens the fixed OA login page, so an agent knows this produces a browser command rather than performing a login. It does not, however, explicitly differentiate itself from siblings like check_oa_readonly_readiness or startup_status, so the agent must infer the boundary.

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 call this versus alternatives, no prerequisites (e.g., that browser operation capability must be available), and no exclusions. The agent is left to infer usage entirely from the purpose sentence.

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. It hints at a go/no-go judgment, but never states whether the call reads or mutates state, what the two prep items are, or any auth/prerequisite behavior. The little it does disclose is useful but far from sufficient.

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 short sentence with no waste and the actionable clause front-loaded. However, the brevity here reflects under-specification rather than disciplined editing, so it cannot score higher.

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?

An output schema exists so return values need not be explained, but for a two-required-parameter tool with zero schema coverage and no annotations, the description omits parameter meaning and usage context. It is too thin to let an agent invoke it confidently.

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 explain bill_readable and oa_window_opened. Instead it only says it 'returns two preparation items,' which is ambiguous about whether these booleans are inputs it consumes or values it echoes, and adds no meaning to either flag.

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 gives a verb (返回/returns) and a loose object (两个准备项/two preparation items) plus a gating statement about read-only detection. It never names the actual resource or the two items, and it does not distinguish itself from the similarly named sibling check_oa_readonly_readiness. Purpose is inferable but vague.

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, when-not-to-use, or alternative-tool guidance. The clause 'whether read-only detection can begin' faintly implies this is a pre-flight gate, but the agent is left to guess the ordering relative to open_greencloud_oa_command or check_oa_readonly_readiness.

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