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

No annotations exist, so the description carries the full burden, and it does not state that this is a read-only/non-mutating operation, what file formats/encodings are accepted, or whether the analysis depends on external services. Mentioning the returned fields is redundant because an output schema already exists.

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 operation front-loaded and zero filler. It is appropriately sized, though the trailing enumeration of return fields is largely duplicative of the output schema.

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?

Output schema presence excuses omitting return-value detail, but the description still leaves the only parameter undefined and gives no usage context among five siblings. For a tool that must be pointed at a specific file, this 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 0% and the single required parameter file_path has no description anywhere. The description never mentions the path argument or its expected format (local path, .xmind file, relative vs absolute), so it 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?

States a specific verb (analyze) and resource (mind map structure) and names the concrete outputs (node count, levels, structural suggestions). This differentiates it reasonably from read_xmind_file and create_mind_map, though it never explicitly contrasts itself with those 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?

No guidance on when to choose this over read_xmind_file (reading content) or convert_to_xmind. An agent must infer that this is for structural assessment rather than content retrieval; no prerequisites or exclusions are stated.

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 disclosure burden. It usefully reveals an absolute-path requirement and the existence of legacy alias parameters, but says nothing about whether an existing output file is overwritten, permission/auth needs, supported size limits, or conversion fidelity — significant gaps for a write-producing tool.

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?

Three compact clauses, front-loaded with purpose before the caveats. Every sentence carries information: format scope, path constraint, alias note, and alternative 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?

An output schema exists, so return values need no explanation, and the description resolves the highest-risk ambiguity (four near-duplicate parameters). Remaining gaps are the output path's default/overwrite semantics, which matter given 0% schema coverage and 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 0% across four parameters, so the description must compensate. It clarifies the otherwise-confusing duplication by labeling source_file/output_file as legacy aliases of the filepath parameters and states the source path must be absolute, but leaves output_filepath behavior (defaults, overwrite, directory requirements) undefined.

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 (convert) and the exact input formats supported (TXT, Markdown, HTML, Word, Excel) plus the output format (XMind). It also routes JSON-topic cases to create_mind_map, so the agent can distinguish this tool from siblings without opening any 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?

Gives an explicit alternative and the condition selecting it: 'JSON主题请用 create_mind_map'. Also imposes a precondition (absolute source path). It does not cover other near-neighbors like read_xmind_file or translate_xmind_titles, but the main fork is stated.

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 burden. It never states that this writes a file to disk, whether output_path overwrites an existing file, what happens if output_path is omitted, or what permissions/format constraints apply. For a creation tool with zero annotation coverage, these are real 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 efficient sentence that front-loads the action and then covers the two non-obvious parameters. No filler, though the alias enumeration makes the sentence 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?

An output schema exists, so return values need not be described. Given only 3 parameters and no nested objects, the missing pieces are the 'title' parameter meaning and the when-to-use positioning against convert_to_xmind, so it is adequate but not 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%, so the description must compensate. It usefully documents the accepted alias keys for topics_json (children/topics/subtopics/nodes/items) and clarifies output_path is optional and absolute – genuine value beyond the schema. But it says nothing about the required 'title' parameter, leaving one of three parameters undocumented in both schema and 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 resource ('创建思维导图' – create a mind map), which is unambiguous on its own. However it does not distinguish this from the related sibling convert_to_xmind or explain the relationship to read_xmind_file/analyze_mind_map, so sibling differentiation is absent.

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 when-to-use context and never names an alternative, despite a crowded sibling set containing convert_to_xmind and analyze_mind_map that plausibly overlap. An agent must guess which tool creates vs converts an existing map.

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 burden. It usefully discloses the default-directory fallback and that recursion, pattern matching and a depth cap are supported, but it never states that this is a non-mutating read, nor anything about result volume or pagination behavior on large trees.

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 resource stated first and the parameter constraints following; every clause adds information and there is 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?

An output schema exists, so return-value explanation is rightly omitted, and the parameter behaviors are covered. What is missing is the identity of the 'default output directory' and any guidance on choosing this tool over the sibling readers/converters, leaving a modest gap for an agent with no annotations to lean on.

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 largely does: it explains directory (absolute path, default output directory when omitted), and names recursion, filename pattern and max search depth, mapping to all four parameters. It does not give pattern syntax or clarify whether max_depth applies without recursive, so it is not fully compensatory.

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+resource: listing XMind files. It is clearly distinguishable from siblings like read_xmind_file, create_mind_map or convert_to_xmind by the fact that it only enumerates. However, it never explicitly contrasts itself with those siblings, 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?

Usage is only implied by the tool's nature as a listing operation; there is no explicit when-to-use statement and no when-not-to-use or alternative named among the five sibling tools. The note that omitting directory falls back to the default output directory gives partial context, which keeps it above a 2.

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 burden. It says what is returned (structure and statistics) but says nothing about failure modes (missing/corrupt file), file format support, size limits, or permissions.

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 with the purpose front-loaded and no padding. The trailing sentence on file_path is mildly redundant with the parameter name but still clarifying.

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 do not need explaining, and the tool is a simple single-parameter read. However, with no annotations and no error/edge-case context, the definition is only minimally sufficient for calling 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% and there is one required parameter, so the description must compensate. It does state that file_path is the XMind file path, which confirms meaning, but adds no format detail such as absolute vs relative path or required extension.

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 ('读取') and resource ('XMind文件内容') and adds that it returns structure plus statistics. It does not differentiate from siblings such as analyze_mind_map, which plausibly reads the same file type, 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 guidance, no indication of prerequisites, and no reference to alternatives like analyze_mind_map or list_xmind_files. Usage is only implied by the verb.

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 behavioral burden and does disclose the key mutation trait: overwriting an existing file requires overwrite=True, and the default behavior produces a new file. It omits other relevant behavior such as whether an external translation service is called, network/auth requirements, or failure handling.

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 primary action and then bundles the optional parameters efficiently. There is little waste, though the terse parameter clause reads more like an annotation than explanatory 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?

The output schema means return values need not be explained, and the overwrite and default-lang semantics are covered. However, for a file-writing tool with no annotations the description should say more about source_filepath, overwrite risk, and translation behavior to be fully actionable.

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 for three of four parameters: output_filepath is an optional absolute output path, target_lang defaults to en, and overwrite=True is required to overwrite. source_filepath (the required parameter) is left undocumented and target_lang values are not enumerated.

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+resource (translate XMind titles) and a concrete outcome (output a new file), which clearly separates it from siblings like read_xmind_file or list_xmind_files. It does not, however, explicitly name an alternative tool for comparison.

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 when-to-use or when-not-to-use guidance relative to the five sibling tools, and no prerequisites are stated. Only an implied context (an existing XMind file whose titles need translating) is conveyed.

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