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

With no annotations provided, the description carries the transparency burden. It discloses the key behavioral trait that the .ioc file 'will be written back' and advises backup, revealing the destructive nature. It also explains the process sequence (load, set, saveas). However, it omits other potential side effects, errors, or prerequisites.

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 main operation is summarized in one dense sentence, followed by a compact parameter list. No redundant phrasing or fluff; every sentence earns its place. The description is front-loaded with the core action.

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 relatively simple tool with an output schema present, the description covers the key aspects: what it does, parameters, and the write-back risk. It doesn't need to detail return values. However, adding an explicit statement about when to choose this over sibling tools would make it 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 coverage is 0%, but the description fully compensates by explaining both parameters: ioc as 'absolute path' with a write-back warning, and commands as a 'command list' with concrete examples like 'set mode USART1 Asynchronous'. This adds substantial meaning beyond 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 clearly states the tool's operation: 'Load .ioc, sequentially execute set commands, finally saveas write back to original file.' This is a specific verb+resource (configure via set commands) and differentiates from siblings like cubemx_load (which only loads) and cubemx_generate (which generates code).

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?

Provides a useful caveat ('backup before calling') but does not explicitly state when to use this tool versus alternatives like cubemx_script or cubemx_generate. There is no 'use this when...' or 'instead of...' guidance, so usage is implied rather than explicit.

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 explicitly mentions that the operation is read-only and that the CSV is written to the system temp directory before being read back, which is a valuable side-effect disclosure. It does not detail error conditions or cleanup of temp files, but the key behavioral trait is transparently communicated.

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 extremely concise, consisting of two short sentences. The primary action is front-loaded, and the parameter explanation is directly attached. Every word serves a purpose, with no filler or redundancy.

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's simplicity, the description covers the main aspects: input parameter, behavior, and side effects. The presence of an output schema handles return values. However, it omits potential preconditions (e.g., .ioc must exist) and error handling, but for a single-purpose export tool, this is a minor gap, making it largely 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?

The schema provides only a string type for the 'ioc' parameter with 0% description coverage. The description compensates by specifying 'absolute path to project .ioc file', adding critical semantic context that clarifies the expected input format and purpose. This extra detail goes beyond the schema and is essential for correct usage.

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 loads a .ioc file and exports the current pin configuration as CSV. The verb 'export' and resource 'pin configuration CSV' are specific, and this distinguishes it from siblings like cubemx_generate (which generates code) or cubemx_configure (which modifies settings).

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 for retrieving pin configurations as CSV, and the read-only note suggests safe invocation. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites (e.g., requiring an existing .ioc file), leaving the usage context implied rather than explicit.

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 transparency burden. It warns about overwriting existing projects, a key behavioral side effect, and clarifies the default output destination. However, it doesn't disclose prerequisites, error handling, or whether the .ioc file itself is modified, so it is strong but not exhaustive.

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-loaded with the action, followed by a clear parameter list. Every sentence earns its place, including the practical warning about avoiding overwrites, with no redundant or vague text.

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 two-parameter tool with an output schema, the description covers purpose, parameters, and the main risk. It lacks explicit comparisons to sibling tools, but the generate operation is self-evident, so the overall guidance is sufficient for an agent 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%, yet the description thoroughly explains both parameters: ioc as an absolute path, and project_dir with its optional behavior and strong recommendation to use a copy. This adds significant meaning beyond the schema's bare property titles.

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 it loads a .ioc file and executes project generate to produce HAL code, using a specific verb and resource. This distinguishes it from siblings like cubemx_load or cubemx_configure by focusing on the generation step.

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 via 'load .ioc and generate HAL code' and provides practical parameter guidance (recommending a copy/test directory), but it does not explicitly discuss when to choose this tool over alternatives or mention any exclusions. Usage context is present but not fully elaborated.

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?

Even though no annotations are provided, the description explicitly states 'read-only, does not modify any files' and discloses a path restriction (must be in allowed directory). It does not describe error handling or return format, but the output schema exists, so that is acceptable.

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 extremely concise: one sentence for purpose and one bullet for the parameter. Every piece of text adds value and no redundant information is present.

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 a simple single-parameter tool with an output schema, the description covers the essential aspects: what it does, the parameter semantics, and the safety/restriction. Nothing critical is missing.

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 string parameter named 'ioc' with no description. The tool description fills this gap by explaining that it is an absolute path to the .ioc file and must be within an allowed directory, adding meaningful context.

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 clearly states the tool loads a .ioc project and reads back key configurations, with an explicit read-only note. This distinguishes it from siblings like cubemx_configure (which modifies) or cubemx_generate (which generates code).

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: this is a read-only inspection tool. It does not explicitly name alternatives or state when not to use it, but the read-only framing and the sibling tool names imply the intended use case.

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 burden of behavioral disclosure. It states commands are passed verbatim to -q (原样传给 -q), revealing that there is no validation or processing, which is a key behavioral trait. However, it does not discuss error handling, side effects, or output behavior, leaving some transparency 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?

The description is compact and front-loaded, starting with the purpose and then offering a bulleted list of examples. Every line earns its place, with no filler or 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?

For a tool with a single free-form string parameter and an output schema, the description provides sufficient context through the escape-hatch explanation and examples. It could be more comprehensive by specifying the complete command grammar or error behavior, but it is adequate for 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. It provides concrete command examples (config load, set mode, project generate) that illustrate the expected format and scope of the 'script' parameter, giving the agent actionable guidance. This is substantial compensation, though 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 the tool executes arbitrary CubeMX script command sequences and functions as an escape hatch, distinguishing it from the more specific sibling tools like cubemx_load or cubemx_generate. It uses a specific verb (执行/execute) and resource (CubeMX script commands), making its 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 phrase '逃生通道' (escape hatch) signals this tool is meant for cases not covered by the higher-level sibling tools, but it does not explicitly name alternatives or state when not to use it. The implied usage is clear: use when custom or arbitrary commands are needed.

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