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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds behavioral context: it diffs all changes in the range and verifies each against the pandaone write audit. It does not mention failure/exit behavior, but safety characteristics are covered by annotations.

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 conveys purpose, scope, and audit criterion without filler. The tool's role is front-loaded and every part of the sentence 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 read-only, idempotent audit tool with defaults for base and head, the description is mostly sufficient for selection and invocation. However, there is no output schema and the description does not state what happens when an audit fails or what the tool returns, leaving some ambiguity for CI result handling.

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 adds useful relational meaning by showing that base and head define the comparison range ('base..head'). However, schema coverage is 67% and the root parameter lacks a description in both the schema and the tool description, so parameter semantics are only partially compensated.

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 action and resource: CI audit validation that compares base..head and confirms every change passed pandaone write audit. This clearly distinguishes the tool from siblings like pandaone_write (the audited operation) and pandaone_status.

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 'CI 审计验证' framing gives an explicit context for when the tool is appropriate, and the base..head comparison defines its operational scope. It does not name alternatives or exclusions, but the intended usage is clear enough for an 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?

Annotations already provide readOnlyHint=false, idempotentHint=true, and destructiveHint=false, indicating a non-destructive, idempotent mutation. The description adds the purpose context (authentication for watch daemon) but does not disclose any additional behavioral details beyond what annotations imply. It does not contradict annotations.

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 concise sentence that states the action and purpose, with no redundant wording. It is front-loaded with the core action and immediately clarifies context.

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, no output schema, and annotations covering idempotency and destructiveness, the description is adequate. It explains what it does and why, leaving no major gaps for an agent to invoke it correctly. A slight gap exists in not specifying any prerequisites or effects on existing fingerprints, but given the tool's simplicity, this is acceptable.

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 covers all parameters (password with description '新密码'), and the description does not add extra meaning beyond that. It does not explain password format, encoding, or any constraints, but with 100% schema coverage, the baseline of 3 is appropriate.

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 (update) and resource (password fingerprint), and clearly mentions the purpose (used for watch daemon authentication). This distinguishes it from all sibling tools, which focus on logging, hooks, git, CI, lock/unlock, init, write, and status operations.

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 usage by mentioning the watch daemon authentication, but it does not explicitly say when to use this tool vs alternatives, nor does it exclude other tools. There is no mention of when not to use it or any prerequisites, leaving some ambiguity.

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?

Annotations already signal that this is not read-only, not destructive, and not idempotent. The description adds value by enumerating what files get created, but it does not disclose behavior on repeated runs or whether existing files are preserved/overwritten, which matters given idempotentHint=false.

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 conveys the core action and key artifacts with no filler. It is not broken into sections, but for a small tool that is acceptable.

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 3-parameter init tool with 100% schema coverage and annotations, the description is mostly sufficient, but it lacks details about rerun behavior, directory existence requirements, and outcome/output, especially with no output schema. It is adequate but not fully 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 100%, so the onus on the description is low. The free-text adds little beyond the schema; 'optional binary_snapshots.json' roughly echoes the no_binary flag but is not mapped to parameters, and ext/root are left to 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 opens with a specific verb-resource pair ('initialize Pandaone AI Agent in specified directory') and lists the concrete artifacts it creates (.pandaone/, config.json, pandaone.jsonl, optional binary_snapshots.json). It is clearly distinguishable from siblings like pandaone_status or pandaone_log, though it does not explicitly contrast itself with other setup-like siblings (pandaone_install_hook, pandaone_install_git).

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 run init versus the sibling tools, nor when to toggle the optional features. The initialization purpose is implied by the name, but the description contains no explicit 'use when' or exclusion statements.

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?

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds scope context ('project-internal', 'no global git') but does not disclose behavior such as download source, install location, or what probe_only returns. The description adds some value beyond annotations but not rich 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 a single compact sentence with no filler. The parenthetical adds meaningful context without redundancy. 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 simple tool with two optional, clearly documented parameters and non-destructive/idempotent annotations, the description plus schema is largely sufficient. The main gap is that there is no output schema and the description does not indicate what the tool returns, especially in probe_only mode.

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% — both probe_only and auto_download have clear descriptions. The main description does not add further parameter semantics, so the baseline score of 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?

The description clearly states the action ('安装便携版 git' / install portable git) and the resource (portable git). The parenthetical ('用于项目内 git hook，无需全局 git') adds context that ties it to project-internal hooks, but it does not explicitly differentiate from the sibling tool pandaone_install_hook, 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?

The description gives a clear usage context: this is for project-internal git hooks and does not require global git. This tells the agent when the tool is appropriate, though it does not explicitly state exclusions or name alternative sibling tools.

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?

注释提供了 idempotentHint=true 和 destructiveHint=false，说明该操作是幂等的且非破坏性，但描述未提供额外行为信息。例如，是否会影响现有配置、是否需要在特定目录下运行等。注释已经涵盖了幂等性和安全性，描述未增加太多，但也没有矛盾。由于描述未补充任何行为细节，评分为 3。

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?

描述非常简洁，仅一句话，没有冗余。但信息量较低，未包含任何使用场景或上下文。简洁但可能过度简化，不过仍然清晰地传达了核心功能。

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?

工具没有输出模式，注释提供了幂等性和非破坏性，但描述未提供安装/卸载的具体影响、是否需要 root 权限、是否修改配置文件等。对于这样一个可能影响项目配置的工具，描述不够完整，无法让代理完全理解其副作用。考虑到复杂度较低（2 个参数），但缺少关键上下文。

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?

输入模式描述了两个参数：root（默认 '.'）和 uninstall（默认 false，描述为'True 则卸载'）。描述本身没有为参数提供额外语义，但模式中已经包含了必要的描述。覆盖率为 50%，即 uninstall 参数有描述，root 参数仅有默认值但无描述。描述也未在正文中解释参数含义，因此未超出模式本身。基线为 3。

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?

描述清晰说明了工具的功能：安装/卸载 pre-commit hook。动词明确（安装/卸载），资源明确（pre-commit hook）。但未与兄弟工具区分，例如 pandaone_install_git 可能涉及类似的安装操作，但此处描述未明确说明与安装 git 或其它安装类工具的区别。

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?

描述未提供使用时机指导，例如何时安装 vs 卸载，或者与兄弟工具（如 pandaone_init）的关联。虽然参数 uninstall 暗示了两种用法，但描述未明确说明何时应使用此工具而非其他工具，也未提及任何前提条件或上下文。

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?

Annotations already indicate this is a non-read-only, idempotent, non-destructive operation. The description adds the concrete behavior of setting files read-only via attrib +r or chmod -w. However, it does not disclose whether the operation recurses, which extensions are considered protected, or what happens to already-locked files, so the transparency is only partial.

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 dense sentence with the operation stated first and the technical mechanism in parentheses. There is no filler, no repetition of the schema, and the format is appropriately sized for a tool of this complexity.

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, but the context remains incomplete: 'protected extensions' is never defined, root semantics are absent, and there is no output schema. The agent would need external knowledge to know exactly which files are affected and what the operation returns or reports.

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 only parameter, root, has 0% schema description coverage and is not explained in the description. The phrase 'all files' implies a scope, but the description never connects it to root or clarifies whether root is a directory, a search root, or a direct file target. The description fails to compensate for the schema gap.

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, '锁定', and a clear target, '所有受保护扩展名的文件', and even gives the mechanism ('attrib +r / chmod -w'). This makes the core purpose clear and distinct from the obvious inverse sibling pandaone_unlock, though it does not explicitly name or differentiate from other 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 description gives no guidance about when to use this tool instead of pandaone_unlock or pandaone_write. It does not state preconditions, exclusions, or contexts where the tool should be avoided. The agent must infer usage purely from the name and the bare operation.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that it filters by file/recent/format, which is behavioral but not beyond the parameters. It does not disclose any additional traits such as return format, pagination, or potential performance implications, but given the annotations, a score of 3 is appropriate.

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, concise sentence with no filler. It front-loads the core purpose and the main filtering options. Every word earns its place, making it an ideal example of conciseness for a tool with this complexity.

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?

Given the tool has 7 parameters and no output schema, the description is incomplete. It fails to mention the 'rejected', 'unauthorized', and 'output' parameters, which are significant for the tool's functionality. An agent might not know these capabilities exist, and there is no information about the output format or how filters combine. The description is too sparse for full contextual coverage.

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 71%, with descriptions for most parameters. The description mentions three filter options (file, recent, format) but does not add new meaning beyond what the schema already provides. It omits the 'rejected' and 'unauthorized' filters and the 'output' parameter, so it does not fully summarize all capabilities. Since coverage is high, the baseline of 3 is correct.

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 verb 'view' and the resource 'audit logs', and mentions filtering by file/recent/format. It distinguishes itself from sibling tools because none of the siblings are related to logs, so the purpose is unambiguous. It could be more specific about what the logs contain, but it is not tautological or 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention exclusions, conditions, or any context where another tool would be preferred. The only implicit usage is that it is the log viewer, but there is no explicit comparison to other tools.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description's '查看' is consistent with those. It adds useful scope about what status categories are visible, but it does not disclose failure modes, prerequisites, or output behavior. No contradiction with annotations.

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 filler: it names the action, the resource, and informative status categories. It is appropriately sized for a simple read-only 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 one-parameter read-only tool with strong safety annotations, the description covers the main status contents. However, it omits root semantics and any return/output details despite there being no output schema, which leaves some ambiguity when an agent needs to target a specific root.

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 never explains the required root parameter or what it means. The parameter name and default provide only minimal inference, so the description does not compensate for the missing schema-level documentation.

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 action (查看/view) and a clear resource (Pandaone status), with concrete example categories: protected files, audit counts, and lock status. It is unambiguous, though it does not explicitly differentiate itself from sibling tools such as pandaone_log or pandaone_watch by name.

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 status-checking wording implies when to use the tool, but the description gives no explicit guidance about alternatives, exclusions, or conditions. It earns the implied-usage level rather than the clear-context level.

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?

Annotations already declare idempotentHint=true and destructiveHint=false, and the description adds no behavioral context beyond the literal action of 'unlocking'. It does not disclose side effects (e.g., what changes are made to file permissions), prerequisites, or what 'protected' means. Since annotations carry the safety profile, the description adds minimal value, and no additional behavior is revealed.

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, short sentence with no redundant phrases. It is front-loaded with the verb and target. While concise, it is so brief that it sacrifices useful detail, but as a standalone statement it is appropriately sized and has no fluff.

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?

Given that this is a mutating operation (readOnlyHint=false) with no output schema and an unexplained parameter, the description is notably incomplete. It does not explain the meaning of 'root', the process of unlocking, any required permissions, or the potential impact on files. The agent would need to guess important details, making the description inadequate for safe and 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 input schema has one parameter, 'root', with zero description coverage (schema_description_coverage=0%). The tool description does not mention 'root' at all, so the agent has no guidance on what this parameter controls (e.g., directory scope, default behavior, file selection). With no description coverage and no parameter explanation, the agent cannot properly understand how to set this parameter, resulting in a critical gap.

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 ('unlock') and resource ('files with protected extensions'), which clearly distinguishes it from sibling tools like pandaone_lock. It conveys the core action and scope, though it does not explicitly tie the action to the 'root' parameter (it says 'all files' without noting the root scope). Slight ambiguity remains, but the purpose is generally clear.

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 explicit guidance on when to use this tool versus alternatives. The sibling pandaone_lock implies the inverse, but the description does not mention it or any conditions for choosing unlock over lock. Usage context is only implied by the name and action, leaving the agent to infer when this is appropriate.

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?

Annotations are all false and provide no meaningful safety profile, so the description carries most of the behavioral burden. It adds the useful fact that this starts a daemon (long-running watcher), but it does not disclose whether the process blocks, how to stop it, what happens to existing watchers, or whether monitoring has side effects. This is minimal but not contradictory context.

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 concise sentence with the action front-loaded: '启动 watchdog 守护进程' before the explanatory parenthetical. There is no filler or redundant restatement of 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?

For a state-changing daemon tool with no effective annotation coverage and no output schema, this description is incomplete. It does not explain the root parameter's role, default execution mode, or how an agent should observe or terminate the daemon. The core purpose is stated, but the operational contract is under-specified.

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 only 50%: 'root' has no description and only 'daemon' is explained as '后台守护模式' (background daemon mode). The tool description adds no parameter-level meaning, failing to state that root is the directory to watch or clarify the daemon flag's behavior 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?

Description states a specific verb and resource: '启动 watchdog 守护进程' (start watchdog daemon) and clarifies its intent with '监控文件改动' (monitor file changes). This clearly differentiates it from sibling tools like pandaone_status or pandaone_ci, which imply status reporting or CI execution rather than long-running file watching.

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 on when to use this tool versus alternatives. It does not mention related siblings such as pandaone_install_hook or pandaone_log, even though file-change monitoring could plausibly overlap with hook installation or logging. The agent is left to infer usage context from the name alone.

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?

Annotations already carry destructiveHint=true, indicating a mutating operation. The description adds useful behavioral context by requiring reason/problem/approach as an audit trail and by separating text and binary write modes. It does not contradict the annotations and provides meaningful extra process-level 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 entire description is one dense sentence that front-loads the tool's role as the core write command and packs all essential mode guidance into a compact, scannable format. There is no redundant or filler content.

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 10-parameter destructive write tool with no output schema, the description covers mandatory fields and parameter mode groups but omits important constraints such as whether --old and --new must be supplied together, whether the text and binary modes are strictly exclusive, and what postcondition the write operation guarantees. It is useful but not fully 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?

With 90% schema description coverage, the baseline is 3. The description adds value by grouping parameters into two mutually exclusive usage modes (text vs binary), which is not explicitly encoded in the schema. This helps the agent select the correct parameter group for the intended write operation.

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 identifies the tool as an audit-driven write command ('审计写入（核心命令）'), stating the core action and the key mandatory audit fields. It does not explicitly differentiate from sibling tools like pandaone_ci or pandaone_lock, but the write intent is 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 gives clear mode-selection guidance: text should use --old/--new or --content, and binary should use --from-file or --content-base64. However, it does not explain when to use this tool versus sibling alternatives, beyond calling it the 'core command', so the alternatives guidance is only implied.

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