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

Annotations are absent, so the description carries the full behavioral burden. It does well: non-destructive output ('never overwrite older ones'), default location ./sounds, return value ('saved file paths and levels'), synthesis provenance and CC0 licensing, and mid-side effects like WAV loop points for game engines. Remaining gaps are loop_crossfade_s and what duration_s means when loop=False, plus no timing/performance expectations for generating up to 20 variations.

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?

Front-loaded with the core action, and most paragraphs carry real information (loop guidance, loudness table, licensing). Still, the multi-paragraph layout with heavy backtick parameter naming reads like inline documentation and could be tightened; the example sentences and license sentence are nice-to-have rather than decision-critical.

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 14-parameter creation tool with no annotations and no output schema, this is close to sufficient: it explains the main knobs, the file destination, the return value in prose, and the licensing/engine context. Dropping `name` and `loop_crossfade_s`, and not stating how this differs from make_loop, are the notable holes.

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% across 14 parameters, so this is the description's main chance to add meaning — and it does for most: intensity, size, style, variations, seed, description, loop, duration_s, format, loudness, recipe, output_dir. It gives a semantic definition for intensity/size and a lookup table for loudness values, which is genuinely useful. But `name` and `loop_crossfade_s` are never mentioned, and the numeric ranges stated ('1 to 20', '0 to 1') aren't enforced anywhere, so the coverage is strong yet incomplete.

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: 'Create a sound effect and save it as an audio file (plus a small .json notes file)'. The output side effect and file layout are named, which is far more than a tautology. It does not, however, distinguish itself from the sibling make_loop, which overlaps heavily with its own loop=True behavior, so an agent still has to guess which path to take.

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?

Explicitly routes part of the workflow: 'Choose the closest recipe (see list_recipes)' and gives a concrete translation procedure with worked examples ('a slight breeze' → wind, intensity 0.1). It also gives a clear exclusion: loop=True 'is the wrong choice for one-off hits'. Missing is any guidance versus preview_sound, mix_sounds, export_sound, or make_loop, so alternative selection is incomplete.

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 does well: it discloses that the original is untouched, that a new file is written, and even an edge case (peaky material may land quieter than the LUFS target and the result reports it). What it omits is failure behavior and the destination path of the written file.

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?

Front-loaded with the core action, then one clause per parameter, with no filler. Minor deductions for the loosely attached 'and the fades are in seconds' clause and a slightly tangled run-on around the peak-ceiling caveat.

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 9-parameter mutation tool with no annotations and no output schema, the description covers the transformation parameters thoroughly but leaves two parameters entirely undescribed. Since `output_dir` and `name` determine where the new file lands, an agent cannot fully predict the side effect of the call from the description 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 coverage is 0%, so the description has to compensate, and it largely does: path input types, format values, the four loudness presets with their LUFS numbers plus numeric override, the 1 dB peak ceiling, sample_rate semantics, trim_silence behavior, and that fades are in seconds. The remaining gap is that `name` and `output_dir` are never mentioned, leaving the agent unsure how the output file is located or named.

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 opening sentence gives a specific verb and resource (convert a sound file) plus three transformation axes (format, level, length) and the outcome (saving a new file). That is enough for an agent to distinguish it from mix_sounds or make_loop, though it never explicitly contrasts itself with create_sound or preview_sound.

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 by 'saving a new file' and 'The original file is untouched', which suggests a non-destructive derive-a-copy operation. However, there is no explicit statement about when to choose this over preview_sound (to audition) or create_sound (to originate), so the alternative-selection logic must be inferred from sibling names.

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 must carry the behavioral load. It implies a safe discovery/read operation and discloses that the response describes settings, but it says nothing about return volume, ordering, or whether the list is static.

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 no waste: the first defines the operation and payload, the second front-loads the usage trigger. Every 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?

With no parameters and an output schema that documents the return shape, the description needs only to say what the tool yields and when to reach for it — both are covered.

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 there is nothing to disambiguate; the description correctly focuses on what the call yields rather than parameter meaning. Baseline 4 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 (list) and resource (sound recipes) plus the added value of explaining each setting's meaning. The resource is clearly distinct from siblings like create_sound, mix_sounds, and export_sound, though no sibling is named 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?

'Call this first if you are unsure which recipe fits, or what intensity and size mean' gives a concrete trigger condition and sequencing advice. It stops short of stating when not to call it (e.g., if the recipe is already known), keeping it just below a 5.

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 well: it states that a new file is saved rather than the original being overwritten, explains how crossfade and trim affect result length, gives a minimum source length, and notes format defaults and WAV loop points. It still omits details such as output naming, loudness handling, and failure behavior.

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 front-loaded with the core action, then gives operational details in a compact sequence. Each sentence adds useful information about the transformation or its constraints.

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 core looping behavior is well covered, but for a 7-parameter tool with no annotations or output schema, the description should do more to document output location/naming and the meaning of loudness. It is adequate but incomplete.

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 meaningfully explains crossfade_s, trim_s, format, and the role of the source path, but leaves name, loudness, and output_dir undocumented, so compensation is only partial.

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 and resource: turning an existing sound file into a seamless loop and saving a new file. This clearly distinguishes it from sibling tools like mix_sounds, create_sound, export_sound, and preview_sound.

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?

It provides clear usage context, including that it works best on ambience such as wind, rain, or hums, and explains when to use trim_s to remove fades. It does not explicitly name alternatives or state when not to use the tool, so it falls short of a 5.

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 load and does well: it discloses the 120s scene cap, automatic gain reduction to avoid clipping ("the mix is turned down to stay clear of clipping"), and per-layer licensing (CC0 for recipes/generators, inherited for file layers). It does not state whether the scene is written to disk or previewed, nor what the call returns.

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?

Front-loaded with a one-line purpose, then organized into layer kinds, shared layer fields, a worked example, generator sub-spec, and scene-level caveats. Despite its length every block carries information an agent cannot get from the empty-coverage 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?

For a 10-param, no-annotation, no-output-schema tool this is unusually complete on inputs and constraints. The remaining gap is output behavior — no indication of what is produced, where it lands, or how output_dir/name/description affect the result.

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, and it does for most of the 10 params: `layers` gets a detailed union spec (recipe/file/generator) plus shared fields (gain_db, start_s, length_s, fades, speed, repeat_*), and duration_s, loop, loop_crossfade_s, format and loudness are all addressed. `name`, `description` and `output_dir` are never mentioned, leaving three params entirely undocumented.

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?

Opens with a specific verb and resource: "Layer several sounds into one scene," and immediately grounds it with concrete scene examples (storm, busy street, haunted room). This is clearly distinguishable from create_sound (single sound) and make_loop (looping) 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?

Use cases are given concretely and a full worked storm example shows the intended call shape, plus a negative rule ("Generators are for machinery, sci-fi and similar sounds, not animals or voices"). It never explicitly says when to prefer create_sound or make_loop instead, so routing between siblings 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 carries the full burden, and it does disclose the key side effect: audio is emitted on the user's machine and will be heard. It leaves out whether playback blocks the call, what happens if a sound is already playing, how long it lasts, and any file-existence or permission failure mode.

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 front-loaded sentence with no filler; every clause adds information (action, target, output destination, purpose).

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 and an output schema exists, so return values need no explanation. Still, with no annotations and an undocumented path parameter, the description falls short on playback behavior and input format for a tool whose entire job is a side-effecting action.

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 single required parameter has 0% schema description coverage, so the description must compensate, and it only implies that the path refers to a "saved sound". It says nothing about path format (absolute vs. relative), acceptable file extensions, or whether an ID could substitute for a file path.

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 concrete verb and resource ("play a saved sound") and adds the observable effect ("through the computer's speakers so the user can hear it"), which separates it from create_sound, export_sound, and mix_sounds. It never names a sibling to contrast with, but the resource is specific enough that an agent can pick it out of the list.

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: the word "saved" hints that the sound must already exist, and "so the user can hear it" hints at auditioning. There is no explicit when-to-use, no when-not-to-use, and no mention of the sibling tools (e.g., mixing before previewing, or exporting instead).

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