dev-toolbox

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

No annotations are supplied, so the description carries the full behavioral burden, and it discloses nothing beyond the operation name. It does not state that the tool is a pure, side-effect-free transformation, nor how errors (e.g. invalid Base64 on decode) are surfaced.

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?

It is a single compact phrase with zero filler, and the operation is front-loaded. It is arguably too terse rather than verbose, but nothing in it is wasted.

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 trivial two-parameter utility whose schema is fully documented and with no output schema to explain, the description is minimally adequate. It leaves behavioral questions unanswered, but the task is simple enough that an agent can call it correctly from the schema alone.

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 'text' and the 'action' enum are documented in the schema, including the encode/decode mapping. The description adds no meaning beyond that, so the baseline 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 names the resource (Base64) and the two operations (encode/decode), so the purpose is discernible. But it is essentially a restatement of the tool name with no further specificity, and siblings (gen_uuid, get_time, json_format) are unrelated utilities so no differentiation is needed or provided.

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 on when to use this tool versus alternatives, nor any prerequisite or context. The action enum in the schema implies encode vs decode, but the description itself offers no usage direction.

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 burden. It usefully discloses the UUID version (v4, i.e. random rather than time-based), which is real behavioral information, but says nothing about determinism, uniqueness guarantees, or output format. For a side-effect-free generator this is acceptable but thin.

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 clause that front-loads the operation and tacks on the only meaningful qualifier. No wasted words.

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 a single optional parameter with complete schema documentation and no output schema, the description covers what the tool produces. It could note the output shape (e.g. a list vs a single string) to be fully self-contained, but nothing essential 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?

Schema description coverage is 100%, and the schema fully documents count including the 1-10 range and default of 1. The description only echoes that a count can be specified, adding nothing beyond the schema — the baseline 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?

States a specific verb and resource: generating UUID v4 values. It is unambiguous and clearly distinct from the siblings (base64, get_time, json_format), though it does not explicitly contrast itself with any of them.

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 — an agent can infer you call this when you need unique identifiers, but there is no explicit when-to-use statement or alternative named. Adequate minimum viability for a simple utility tool.

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 behavioral burden. It usefully discloses the default timezone (UTC+8 Beijing) that is not present in the schema, but omits return format, precision, or other operational details.

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 sentence, front-loaded with the core action and immediately followed by the default behavior. 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?

For a simple read-only time utility with no output schema, the description covers the core action and default timezone, but omits the return format (e.g., ISO 8601 string). An agent can call it but may not know what to expect from the output.

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. The description adds the default value for the optional timezone parameter ('默认 UTC+8 北京时间'), which is meaningful information beyond the schema's example-based 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 ('获取当前时间') with a scope/default ('默认 UTC+8 北京时间'). It clearly distinguishes itself from the unrelated sibling utilities (base64, gen_uuid, json_format).

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 when-to-use or when-not-to-use guidance is given. Usage is strongly implied by the name and description, and no alternative time-related tool exists among siblings, so this is adequate but not thorough.

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 two behaviors beyond the schema: it validates the input and it indents the output. However, it omits important behavior such as what happens when the input is invalid JSON (error vs. passthrough) and whether it accepts non-object JSON values.

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 terse phrase with zero waste and the core purpose front-loaded. It is appropriately sized for a trivial utility, though the parenthetical could carry slightly more useful detail.

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 one-parameter utility with no output schema, the description covers what the tool does but not the result format or the failure mode for malformed input. Adequate but with a clear gap around error behavior.

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?

There is a single parameter, 'text', and schema description coverage is 100% ('JSON 字符串'), so the schema already documents it. The description adds nothing about the parameter's expected content or format, so the baseline 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 gives a specific verb (美化格式化/format) and resource (JSON) and adds that it validates and indents, which is more than a restatement of the name. It does not explicitly contrast with siblings, but the siblings (base64, gen_uuid, get_time) are unrelated utilities, so differentiation is implicit.

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 statement of prerequisites, and no mention of alternatives or edge conditions. The agent must infer that this is the tool for pretty-printing JSON.

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