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

Annotations only declare destructiveHint=false, so the description carries most of the burden and does add real context: synthesis happens locally, files are written to disk, output is free for commercial use with no attribution, and the return payload includes file paths, per-variant seeds and patch JSON. It is consistent with the non-destructive annotation (new files, not overwrites). Minor gaps: no statement about overwrite behavior when out_path 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?

The first three sentences are front-loaded and information-dense with no waste. However, the trailing enumeration of 44 preset ids duplicates the enum already present in the schema, adding significant length without new meaning and diluting the useful content.

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 six parameters, full schema coverage and no output schema, the description does the necessary work of explaining what comes back (paths, seeds, patch JSON) and how variants are named. An agent has enough to call it correctly; only overwrite/collision behavior for existing out_path is unaddressed.

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 every parameter including seed arithmetic, count suffixes and mutate range. The description adds only the seed-reuse framing and the patch-to-render_patch workflow, and leaves js_path entirely to the schema. Baseline 3 is appropriate.

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 game sound effects locally from a preset') plus the concrete output format (16-bit mono 44.1 kHz WAV). It also distinguishes itself from the render_patch sibling by naming that tool as the fine-tuning path once you have the patch JSON.

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 clear routing: use this tool to generate from a preset, then edit the returned patch JSON and call render_patch to fine-tune. It also explains the seed-reuse workflow for exact reproduction. It does not explicitly say when to prefer list_presets or get_js_code, though the schema references list_presets.

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?

Annotations only declare readOnlyHint=true; the description adds real behavioral context on top: no dependencies, no audio files, ~7 KB single snippet, and the requirement for a user gesture before playback. It does not mention the 50-item cap or what happens with larger requests, but the added disclosure is meaningful for a read-only generator.

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 sentences, all load-bearing: output form first, usage second, input shape third. No hedging, no restating the title, and the size/dependency facts are packed parenthetically rather than as 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?

There is no output schema, so the description must characterize the return value, and it does — a single self-contained snippet exposing play functions. For a one-parameter tool this is close to sufficient; only the absence of an upper-bound note (max 50 sounds) keeps it from full marks.

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?

With schema description coverage reported at 0%, the description carries the load by explaining the two shapes: "Each sound is either {name, preset, seed} or {name, patch}." That conveys the preset/patch alternative structure, which the JSON schema does not make explicit as an either/or. It still doesn't explain the seed round-trip with generate_sfx or the name-to-playCoin() mapping, so not a 5.

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: "Return one self-contained JavaScript snippet (Web Audio, ~7 KB...)" and specifies it defines play functions for several sounds. The output form is distinct from what list_presets, generate_sfx, or render_patch would produce, so an agent can tell it apart from siblings without opening another 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 a clear use context — "Best for browser games: paste it in and call e.g. playCoin() after a user gesture" — which signals both the target scenario and the autoplay-gesture prerequisite. It stops short of naming alternatives or exclusion conditions (e.g. when to prefer generate_sfx or render_patch instead), which keeps it 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?

readOnlyHint=true already declares the safety profile, and the description adds genuinely useful behavior beyond that: what fields come back per preset and the nondeterminism/seed semantics of downstream generation. It does not say whether the entire preset catalog is returned or capped, which is the one behavioral gap.

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 filtering, then generation semantics — a logical order with no filler. The closing seed sentence is slightly tangential to a listing tool but earns its place by preventing confusion with generate_sfx.

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 two-optional-parameter, read-only listing tool with no output schema, the description covers inputs, returned fields, and cross-tool behavior, which is nearly everything an agent needs. The only omission is result-set size/pagination expectations when no filter is supplied.

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 100% and already defines both parameters, including the category enum and the all-terms-must-match rule for query. The description's category list merely repeats the enum, and the query examples ("metal", "calm", "sword") illustrate intent but add little semantics beyond the 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?

States a specific verb and resource ("List the procedural sound effect presets") and immediately characterizes the content (Eastern wuxia/xianxia and general game sounds) plus what each entry carries (category, tags, use case). It is clearly distinguishable from the mutating sibling generate_sfx, which it names.

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 concrete filtering paths (by category enum or a search term) and states the relationship to generate_sfx — presets are inputs to generation, each call yields a random variation, and a seed reproduces one. That is clear context for when to reach for this tool, though it never explicitly says "call this first to discover presets before generating."

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?

Annotations only declare destructiveHint=false, so the description carries most of the load and does state the material side effects: a WAV is written to out_path and, if js_path is given, a .js play function file is also written. It omits overwrite semantics, error behavior on invalid patches, and runtime cost, which keeps it below a 5.

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 purpose is front-loaded and the reference block is genuinely useful, but the description is very long and crammed into dense semicolon-chained lines with inline sample-length tables that would read better as schema properties or linked docs. Size is defensible for the payload complexity, but structure and density cost it.

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 nested-object tool with no output schema, the definition supplies the full patch grammar, defaults, value ranges, seed semantics, and even construction tips for common timbres. An agent has enough to author a valid patch and predict the audible outcome without further lookups.

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?

Top-level schema coverage is 100%, but the patch parameter is an opaque `additionalProperties: {}` object, so the schema documents none of the layer structure. The description fully compensates by enumerating layer types, field ranges defaults in brackets, and sample names with their recording lengths, which is meaning the schema cannot provide.

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 first sentence states a specific verb and resource ('Render a hand-edited patch ... to a WAV file') and identifies the sibling generate_sfx as the producer of such patches, so the agent can distinguish it from generate_sfx and list_presets 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?

It gives a clear when-to-use signal: this is for patches you have edited yourself, such as one returned by generate_sfx with changed values, which implicitly routes generation-only requests to generate_sfx. It stops short of explicit exclusions or prerequisites such as whether an existing out_path is overwritten.

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