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 sample is Base64-encoded and re-sent on every call, the ~10 MB payload ceiling, and that output is written to a file and returned as a path. It omits auth requirements, rate limits, and latency characteristics.

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 tight sentences with no filler; the cloning purpose and model name lead, followed by the payload constraint and the output behavior. Every sentence contributes something an agent needs.

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?

No output schema exists, yet the description still states that a file path is returned, and the payload/format constraints are covered between description and schema. Sufficient for correct invocation; only secondary operational details (permissions, quotas) are absent.

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 schema already documents all six parameters in detail (format enum tradeoffs, output_path sandboxing and no-overwrite behavior, instructions usage). The description adds only the sample-size payload context, making 3 the appropriate baseline.

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 (synthesize speech) plus the distinctive resource constraint: replicating a voice from a local mp3/wav sample via the named `mimo-v2.5-tts-voiceclone` model. An agent can infer this differs from `text_to_speech` (no sample) and `design_voice_to_speech`, but the description never names or contrasts those siblings explicitly.

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 implied rather than stated: the requirement of a local reference sample tells the agent this is the path when a voice must be cloned. There is no explicit when-to-use/when-not, and no routing guidance toward `text_to_speech` for plain synthesis or `design_voice_to_speech` for novel voices.

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 but only discloses the output contract: audio is written to a file and the path is returned. It says nothing about permissions, latency, cost, failure modes, or what the server does if synthesis fails, so it is a modest disclosure for an unannotated mutation 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 short sentences, zero filler: what the tool does, what it is not, and what it returns. The most important distinction is front-loaded before the output behavior.

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 6-parameter tool with 100% schema coverage and no output schema, the description covers purpose, the model behind it, and the return shape (file path). It is essentially complete; only richer behavioral context (latency, auth, error handling) 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%, so every parameter including voice_description, output_path restrictions and the text/optimize_text_preview interaction is already documented in the schema. The description adds no parameter-level semantics beyond what the schema supplies, which is the baseline 3 case.

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 ('Synthesize speech'), names the exact model ('mimo-v2.5-tts-voicedesign'), and pins the differentiator: a brand-new voice invented from a text description. The exclusions ('No preset voice and no audio sample') let an agent separate it from text_to_speech and clone_voice_to_speech without opening schemas.

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 exclusions 'no preset voice and no audio sample involved' effectively define the selection condition against the two sibling TTS tools, and the phrase 'inventing a brand-new voice from a text description' signals the use case. It never names the alternatives explicitly, so it stops short of a full when/when-not routing statement.

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 behavioral burden and usefully discloses that the operation is read-only and requires no API key. It also indirectly covers return content (models, capabilities, voices, file paths), though it omits error behavior or list stability details, which are minor for a zero-param catalog.

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 tight sentences, front-loaded with the core listing action, and the trailing safety note earns its place. Zero waste.

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 zero-param, no-output-schema catalog tool, the description covers what is listed and the key safety traits. A small gap remains in explicitly routing the agent from discovery to the sibling synthesis tools.

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 adds no parameter details and none are needed.

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 'List' and a detailed resource: MiMo TTS models, capabilities, preset voices, and file output locations. It is clearly a catalog tool distinct from the sibling synthesis/cloning tools, though it does not explicitly name 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?

'Read-only; no API key needed' gives a calling hint, but there is no explicit when-to-use or when-not-to-use guidance relative to text_to_speech, design_voice_to_speech, or clone_voice_to_speech. The implied use is discovering voices before synthesis, but this 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 does the work: it discloses the side effect (writes an audio file), the return payload (path, byte size, duration), and the path constraints are further covered in the output_path schema. It omits auth/permission needs and rate limits, which is a modest gap for a mutation-with-artifact 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 tight sentences with the core capability front-loaded and capabilities/return value following. No filler, though the singing and tag details could arguably merge into one clause.

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 6-parameter tool with full schema coverage and no output schema, the description supplies the missing return-value summary (file path, size, duration) and the write side effect. Nothing critical is absent, though it says nothing about latency, cost, or 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?

Schema description coverage is 100%, so the schema already documents voice, format, file_name, output_path and instructions thoroughly. The description's tag/singing note restates what text's schema description already says, so it adds little beyond the structured fields.

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 ("Synthesize speech with Xiaomi MiMo mimo-v2.5-tts") and narrows scope to "built-in voices", which implicitly separates it from design_voice_to_speech and clone_voice_to_speech. It stops short of naming those siblings outright, so the differentiation is inferable rather than explicit.

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 mention of "built-in voices" and the singing/tag capabilities implies when this tool is the right pick versus voice design or cloning, but no alternative is named and no exclusion is stated. Usage is inferable from context rather than spelled out.

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