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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description usefully adds that results land in `metadata`, but it says nothing about whether analysis is synchronous or requires a follow-up retrieval call.

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 core deliverable and output location front-loaded. 'and other characteristics' is mild filler, but the description is otherwise tight and waste-free.

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 an output schema present, the description needn't detail return values, and it does point to `metadata`. For a single-parameter read-only tool this is nearly complete; only the sync/async behavior 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?

There is only one parameter and schema description coverage is 100% (the schema already documents accepted file formats and ~ expansion). The description adds no parameter detail beyond the schema, so 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 ('Analyze') and resource ('a track') and enumerates the extracted characteristics (BPM, key, loudness). It is clearly distinct from the generative/stem siblings, though it never names an alternative explicitly to reinforce the distinction.

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?

Correct usage is implied — point it at an audio file to obtain its characteristics — but there is no explicit when-to-use, no when-not-to-use, and no routing to or away from siblings such as list_results for retrieving results.

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 already declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false, so the safety profile is covered. The description adds no behavioral context such as output file handling, overwrite behavior, or permission requirements.

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 single sentence is front-loaded and free of waste, clearly stating the core action. It could be slightly more informative without becoming verbose, but the conciseness is appropriate.

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 description plus full schema coverage, annotations, and an output schema make invocation possible. However, the lack of usage guidance relative to sibling tools leaves a gap in helping an agent select this tool 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 100%, so both parameters are well documented in the schema itself. The description adds no parameter meaning beyond what the schema already provides, fitting the baseline of 3 for high coverage.

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 (Transcribe) and resource (audio file to MIDI), making the purpose clear. However, it does not explicitly differentiate from siblings like generate_music or sound2vital, leaving boundaries to inference.

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 is given on when to use this tool versus alternatives, nor are any prerequisites or exclusions mentioned. The description only states what the tool does, not when it is appropriate.

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 already declare the mutation profile (readOnlyHint=false, idempotentHint=false, openWorldHint=true). The description adds essentially nothing beyond that: it does not mention generation cost, latency, remote/service dependency, or how outputs are persisted, and its mode list merely restates values already in the task_type schema field.

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 lines, front-loaded with the core action and model. It is appropriately sized, though the trailing mode list is partly redundant with the schema and could have been replaced by a routing hint.

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 19 parameters, an output schema, and annotations, much of the burden is absorbed by structured fields, so the description is not dangerously thin. However, for a multi-mode tool it omits any guidance on mode selection or which parameters pair with which task, forcing the agent to reconstruct the workflow from individual schema fields.

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 already explains cross-parameter rules (source_file required for remix/extract/lego/complete/understand, reference_file for cover). The description adds no additional parameter meaning, so 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?

The first sentence gives a clear verb+resource (generate music with the Audial model). The second enumerates modes, but two of them ('stem extraction', 'analysis (understand)') overlap with the sibling tools stem_split and analyze, muddying rather than sharpening differentiation.

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 explicit when-to-use guidance and no routing between this tool and siblings like stem_split, analyze, segment, or master. The mode list implies that task_type selects the operation, but the agent is left to infer which sibling to call for overlapping tasks such as separation or analysis.

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 declare a non-read-only, non-idempotent, open-world operation, but the description adds no behavioral context: it does not say that output files are produced, whether the call runs as an async job (implied by job_type and the list_results sibling), how to retrieve results, or how long it takes. For a mutating tool with annotations only sketching the safety profile, this leaves a real 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?

A single front-loaded sentence with no filler; the deliverable is named immediately. Nothing in it is redundant.

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 not required, and all four parameters are documented in the schema. However, for a non-idempotent job-style tool that feeds a list_results workflow, the description omits async/result-retrieval context, leaving the agent to discover it elsewhere.

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 genre, job_type, file_path, and components are already documented in the schema. The description's mention of 'one-shots and loops' loosely maps to components but adds no format, required/optional, or default information beyond what the schema states. 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 (Extract), resource (sample pack), and expands the resource's contents (one-shots and loops) with a scope (from a track). An agent knows what comes out, but the description never distinguishes this from the closest sibling, stem_split, which also decomposes a track.

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 statement of when to use this over stem_split, analyze, or segment, and no prerequisites or exclusions. The only routing signal is the tool name itself, so the agent must infer intent from the sibling list.

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 already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds the ordering guarantee ('newest first') and the storage location ('results folder'), which is useful context, but says nothing about pagination limits or what happens when no results exist.

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 with the resource and ordering front-loaded and zero filler. Nothing extraneous.

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 explained, and the schema fully covers both optional parameters. For a simple read-only list tool this is nearly complete; only minor behavioral detail (pagination beyond limit, empty-folder behavior) 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 both parameters ('tool' filter and 'limit') are fully documented in the schema. The description's 'newest first' echoes the limit parameter's own description, adding no new semantic detail. 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 ('List') and resource ('previous Audial results') plus the scope ('in the results folder') and ordering ('newest first'). This clearly distinguishes it from the sibling generation tools, though it does not name any of them 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 by 'previous results' — an agent can infer this is the tool for retrieving already-produced outputs rather than creating new ones. However, there is no explicit when-to-use/when-not guidance or mention of alternatives for finding results.

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 already declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false. The description adds no further behavioral context such as side effects, output file creation, or whether the original mix is modified.

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?

Single front-loaded sentence with no wasted words. The purpose is stated immediately and clearly.

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 the 100% schema coverage, existing output schema, and annotations, the description is sufficient for correct invocation. It lacks expanded usage context, but the surrounding structured fields compensate for the missing return and parameter details.

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%, with detailed descriptions for file_path and reference_file. The description only restates optional reference matching and adds no syntax, format, or constraint detail 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: 'Master a mix' and notes optional reference matching. It is clear but does not explicitly differentiate itself from sibling tools such as analyze or stem_split.

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?

Provides no explicit when-to-use guidance, no exclusions, and no alternative tools. Usage is only implied by the tool name and the phrase 'Master a mix'.

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 already declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false. The description adds no behavioral context such as whether output files are created, whether repeated calls are safe, or what side effects to expect.

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 front-loaded sentence with no redundant or filler text. Every word contributes to stating what the tool does.

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 an output schema present and full schema coverage, return values and parameters are handled elsewhere. However, for a tool with multiple sibling analysis/generation tools, the description omits when to use it versus alternatives and does not disclose enough behavioral context.

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 parameters like genre, features, components, and analysis_type are fully documented in the schema. The description mentions components generally but adds no syntax or format details 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+resource: detect song sections (intro, verse, chorus) and analyze components within them. The purpose is clear, but it does not explicitly distinguish itself from the sibling tool 'analyze' or 'stem_split'.

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 when-to-use guidance, no conditions for choosing this over siblings like analyze or stem_split, and no prerequisites beyond the schema. The description only implies usage from its function.

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 already declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false, covering mutation, external access, and non-idempotency. The description adds the <=20 s input constraint and that the result is an editable preset reproducing timbre, but omits file output behavior and other side effects.

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 front-loaded sentence with no filler. It is appropriately sized for a one-parameter conversion tool and every word contributes to the action and output.

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 exists and the annotations carry the safety profile, so the description need not explain return values. It provides the input length constraint and output type, making it complete enough for correct invocation, though usage guidance remains thin.

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 the single file_path parameter is fully documented as a short one-shot audio file. The description adds no syntax, format, or constraints beyond the schema, so the baseline of 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 conversion: a one-shot sample becomes an editable Audial Synth preset. The verb and resource are clear, though it does not explicitly distinguish itself from sibling audio tools like generate_samples or analyze.

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, exclusions, or alternatives are provided. Usage is only implied by the conversion description, which is minimal for choosing between this tool and siblings such as generate_samples or analyze.

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 already declare readOnlyHint=false, idempotentHint=false, and openWorldHint=true, so the safety/mutation profile is covered. The description adds nothing beyond echoing the optional retime/rekey parameters; it omits what happens to the source file, whether output stems are written to disk, and where results surface. With annotations doing the heavy lifting, the description contributes minimal extra context.

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 tight sentence with the core action front-loaded and no filler. It is efficient, though it spends its one clause on optional modifiers rather than routing or prerequisite information.

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 explained. However, for a non-idempotent, open-world, file-consuming tool with five parameters, the description says nothing about where stems are produced or how the agent retrieves them (e.g., via list_results), leaving a meaningful operational gap.

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 all five parameters (stems list, algorithm, file_path, target_bpm, target_key) are already documented with defaults and formats in the schema. The description only paraphrases target_bpm/target_key and adds no syntax or constraint detail, so 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 ('split a track into separate instrument stems') with an added capability note ('retimed and rekeyed'). It is clear what the tool does, but it never differentiates itself from siblings like segment, analyze, or master, which could overlap in the audio-processing family.

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 when-to-use guidance is given: nothing tells the agent when to prefer stem_split over segment, analyze, or master, nor any prerequisites (source file requirements, expected runtime, whether results need list_results). The optional retime/rekey behavior is mentioned but not framed as a decision criterion.

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 already declare readOnlyHint=false, idempotentHint=false and openWorldHint=true, so a generation/mutation profile is known. The description adds that the output includes both a sung vocal and MIDI, which is useful context. It still says nothing about runtime cost, GPU/quality tradeoffs, or the fact that reference_file is a required timbre input.

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 front-loaded sentence with no filler or repetition. It is efficient, though for a 15-parameter open-world generation tool it is arguably too terse to be optimally sized.

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 15 parameters, an open-world generation annotation, and no usage guidance, a one-sentence description leaves real gaps: which melody source is required, how to pick among the many tuning knobs, and how it relates to sibling generators. The output schema and 100% param coverage cover return values and arguments, but the routing/usage layer 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 all 15 parameters (seed, nfe_steps, cfg_strength, strict_pitch, etc.) are already documented in the schema. The description adds no syntax, format, or interaction detail beyond it, 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 (synthesize) and resource (a sung vocal and MIDI) plus the three required inputs (lyrics, melody, reference voice). This clearly separates it from siblings like generate_music or generate_midi. It stops short of explicitly naming or contrasting those alternatives, so it does not reach the top of the scale.

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 prerequisites, and no mention of alternatives such as generate_music or which melody source (midi_file vs melody_audio_file) to prefer. The agent gets no routing help beyond the bare purpose statement.

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