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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the mutation risk is known. The description adds a useful behavioral limitation not in the annotations: name readback works, marker-time readback does not. This goes beyond the structured data and helps set expectations.

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, well-structured sentence front-loads the core action and then provides a concise, useful caveat. Every phrase earns its place; no fluff 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?

The output schema and annotations cover return values and safety profile, but the definition lacks parameter semantics and usage context. It is adequate for a relatively simple add operation, yet the 0% schema description coverage means more burden falls on the description, which it only partially meets.

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 explain parameters, but it only mentions 'bar/beat' which vaguely maps to bar_number and beat_offset. It does not explain the marker object structure, constraints (max 32), or defaults, leaving the agent to infer semantics from field names alone.

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 ('Add') and resource ('bar/beat section markers'), and the tool name disambiguates the arrangement context. It also adds a distinguishing behavioral note about readback capability, which helps separate it from any potential marker-related operations.

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 alternative-routing guidance is provided. The readback caveat implies a condition ('use if you need name readback, not marker-time readback'), but there is no direct comparison to other tools or clear exclusions.

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?

The annotations already declare destructiveHint: true, readOnlyHint: false, and openWorldHint: true. The description adds a useful operation sequence—find, select, name/color, set length—but does not disclose what happens if the FL-reported pattern is no longer empty, whether the selection change is significant, or how failures behave. With annotations carrying the safety profile, the description provides some value but not full behavioral transparency.

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 a single front-loaded sentence with no filler. It lists the workflow in execution order: find, select, name/color, set length. Every phrase contributes to the tool's 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?

For a destructive composite tool with four parameters and no parameter-level schema descriptions, this short description is not fully adequate. It omits start_pattern_number semantics, fail behavior when no empty pattern exists, explicit when-to-use guidance, and side-effect detail. The annotations and output schema offset some completeness, but the description alone leaves an agent uncertain about safe or correct use.

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 description maps three of the four parameters to meaningful actions: name, color, and length. It does not mention start_pattern_number, and it does not explain the color integer format or the meaning of selecting a starting pattern. Since schema description coverage is 0%, the description partially compensates but leaves a real semantic gap.

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 clearly states a concrete multi-step operation: find an FL-reported empty pattern, select it, name/color it, and set its length. It is distinct from a tautology and conveys the resource and actions. However, it does not explicitly contrast itself with the closely related sibling tools like fl_find_empty_pattern, fl_select_pattern, fl_set_pattern_identity, or fl_set_pattern_length.

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 description gives the operational steps but provides no explicit guidance about when to invoke this composite tool versus calling the individual sibling tools. It does not mention any prerequisites, exclusions, or cases where this tool should not be used.

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 establish read-only, idempotent, non-destructive behavior. The description adds context beyond those annotations by specifying the single-render scope and flagging optional pitch analysis as a capability; this is useful behavioral context for a safe analysis tool. No contradiction with annotations.

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 sentence, front-loaded with the main action and target, and no filler or repetition of the title. Every word adds signal.

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 a complete input schema and an output schema present, the high-level description plus the schema is enough to invoke the tool correctly. It is slightly incomplete only in that it does not situate the tool among the many audio-analysis siblings, but that gap is split with usage guidelines.

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 path, max_seconds, and include_pitch fully. The description's mention of 'optional pitch' maps to include_pitch, but it adds no semantics beyond what the parameter descriptions already provide, so the schema-coverage 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 starts with a specific verb ('Measure') and names the resource ('one render') plus the measured aspects (level, spectrum, dynamics, stereo, optional pitch), so an agent knows what the tool does. It does not explicitly contrast it with sibling analyzers like audio_compare_files or audio_analyze_masking, so sibling differentiation is inferred rather than stated.

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 prefer this tool over alternatives such as audio_compare_files or audio_analyze_masking, and no exclusion criteria are given. The only implied context is that it analyzes a single rendered file, which is not enough to route an agent confidently among the audio analysis siblings.

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, idempotentHint=true, and destructiveHint=false, and the description's 'Measure' verb is consistent with those. The description adds the computed metric details but no additional behavioral traits such as input constraints or processing side effects, so it stays at baseline.

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 sentence, front-loaded with the action verb, and every word contributes to defining the tool's function. No filler or redundant rephrasing.

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 a 100%-covered input schema, clear safety annotations, an output schema present, and a succinct purpose statement, nothing needed to call the tool correctly is missing. Return-value details are handled by the output schema, so the description does not need to explain them.

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%, with all three parameters documented in the input schema. The description restates the vocal/instrument theme but adds no semantic detail beyond what the schema already provides, 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?

The description uses a specific verb ('Measure') and names concrete resources: per-band spectral overlap and vocal-minus-instrument level margins. This is distinct from generic siblings like audio_analyze_file and audio_compare_files because it identifies the exact masking-oriented metric computed.

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 description implies the tool is for diagnosing frequency masking between a vocal and an instrumental render, but it never states explicit when-to-use conditions or contrasts with related siblings such as mix_masking_recommendations or audio_compare_files. Context is clear, but exclusions and alternatives are 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?

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds context about alignment and loudness matching, which is useful, but does not disclose output format, interpretation of band deltas, or any edge cases. It meets the baseline but lacks deeper behavioral detail.

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 a single, tightly worded sentence that front-loads the core action and scope. There is no fluff or redundancy, making it highly efficient.

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 tool's complexity (comparison of two files with optional max_seconds) and the presence of an output schema, the description is minimal. It does not explain what 'band deltas' mean or how results should be interpreted, though the output schema may cover return structure. It is adequate but leaves room for more 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 coverage is 100%, with clear descriptions for reference_path, candidate_path, and max_seconds. The tool description adds no additional parameter semantics beyond what the schema provides, so the baseline score 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?

The description states a specific action (measure band deltas) and context (aligned, loudness-matched common overlap), which clearly implies a comparison of two audio files. It is not a tautology and distinguishes itself from generic analysis tools like audio_analyze_file or audio_analyze_masking, though it could be more explicit about the comparison nature.

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 provided on when to use this tool versus alternatives such as audio_analyze_masking or audio_analyze_file. The description only states what the tool does, leaving the agent to infer appropriate use cases.

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, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds behavioral context by noting 'ranked ambiguity,' which tells the agent the tool returns multiple ranked candidates rather than a single definitive answer. It does not disclose details like processing time, file size limits, or what happens with silent or percussive audio, but given the strong annotation coverage, the description adds adequate value without contradiction.

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 a single sentence of 11 words that front-loads the core action ('Estimate periodic tempo and global major/minor key') and adds the key differentiator ('with ranked ambiguity') at the end. Every word earns its place; there is no filler, repetition of the title, or redundant schema information. This is an exemplary concise definition.

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 has a simple 2-parameter schema, an output schema (which presumably documents the ranked results), and annotations covering safety and idempotency. The description's mention of 'ranked ambiguity' aligns with the output schema's likely structure. The only missing context is a brief note on what max_seconds does and how it affects results, but given the tool's simplicity and the presence of an output schema, the description is nearly complete for an agent to invoke it 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 50%: the 'path' parameter is documented in the schema ('Absolute path to a decoded audio file'), but 'max_seconds' has no description beyond its type, default, and range. The tool description does not explain what max_seconds controls (e.g., how much audio to analyze) or how it affects the estimate. With half the parameters undocumented in both schema and description, the description does not fully compensate, but the parameter names and schema constraints are reasonably self-explanatory, so a 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?

The description states a specific verb ('Estimate') and resource ('periodic tempo and global major/minor key') with a distinctive qualifier ('with ranked ambiguity'). It clearly distinguishes this from sibling audio analysis tools like audio_analyze_file or audio_transcribe_melody, though it doesn't explicitly name them. The title 'Estimate tempo and musical key' reinforces the same purpose, so the description adds the ranked-ambiguity detail that separates it from a generic analysis tool.

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 description implies usage context: it is for estimating tempo and key from a decoded audio file, and the 'ranked ambiguity' phrasing suggests it returns multiple candidate interpretations. However, it does not explicitly state when to prefer this over sibling tools like audio_analyze_file or audio_transcribe_melody, nor does it mention any exclusions or prerequisites beyond the path parameter. The context is clear enough for a straightforward analysis tool, but the lack of explicit alternatives or when-not-to-use guidance keeps it at a 3.

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?

The readOnlyHint and destructiveHint annotations already establish this as a safe read operation. The description adds valuable context beyond the annotations by specifying the exact folders searched and the recency ordering, which informs the agent of scope. It does not discuss return format, but the presence of an output schema covers that.

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 that front-loads the core purpose and scope. Every word earns its place with zero waste, listing all three target folders in one compact 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 single-parameter, read-only listing tool with a full output schema and annotations covering the safety profile, the description is largely complete. The only minor gap is the lack of explicit statement about what happens when no files exist or how the three folders' results are combined, but these are edge cases an agent can handle from the schema and output schema.

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 fully documents the limit parameter including its default (20) and bounds (1-200). The description adds minimal semantic value by referencing 'newest first' ordering, but this is also in the schema. Baseline 3 is appropriate given the schema does the heavy lifting.

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'), resource ('newest audio files'), and explicitly names the three folders searched (Rendered, Audio, Projects). This distinguishes it clearly from sibling audio tools like audio_compare_files, audio_analyze_file, and audio_estimate_tempo_and_key, which have different purposes.

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 description conveys when to use the tool (when you need recent audio exports/bounces) through its clear scope, but it does not state explicit exclusions or when not to use it relative to siblings. There are no competing 'list audio' siblings, so no routing guidance is strictly necessary, though a brief note on what it is not would improve it.

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 state readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description's 'does not mutate FL' mostly repeats structured data. It adds the monophonic-input constraint, but does not disclose timing, failure modes, or what happens with polyphonic 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?

The description is a single front-loaded sentence: it states the core purpose first and then the safety constraint. No filler words; it is as concise as possible while being informative.

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 7 parameters and 14% schema description coverage, the tool needed a fuller context picture. The output schema helps, but the description gives no parameter guidance, no expected return style, and no differentiation from audio_analyze_file or compose_melody, leaving important gaps for an agent.

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 only 14%, so the description must compensate for the 7 parameters. It mentions no parameter by name or provides any guidance on fmin_hz, fmax_hz, tempo_bpm, max_seconds, quantize_grid_beats, or minimum_note_seconds.

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 identifies the action ('Extract a reviewable note sequence') and resource ('monophonic audio'), and it adds a clear safety boundary ('does not mutate FL'). It does not explicitly distinguish itself from siblings like audio_analyze_file or compose_melody, so it is not a full 5.

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 phrase 'from monophonic audio' implies when the tool should be used, and 'does not mutate FL' implies it is an analysis tool rather than a DAW-mutating operation. However, it gives no explicit guidance on when not to use it or which sibling is a better alternative.

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 carry the important safety signals: readOnlyHint=false, destructiveHint=true, and idempotentHint=false. The description adds a relevant precondition and one-shot scope with 'while playback and recording are active' and 'one'. However, it does not explain what is mutated, whether existing automation is overwritten, or what the expected_before parameter is protecting against. There is no contradiction with annotations.

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 one compact sentence with an active verb, no filler, and the core action front-loaded. It is appropriately concise, though the brevity leaves important operational detail to the schema and annotations.

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, a destructive side-effect, and a concurrency-related field like expected_before, a single sentence is not enough context for an agent to invoke this reliably. The description does not mention critical invocation semantics such as mixer target 0 protection, the normalized value range, or what happens if playback/recording is not active. The output schema may help with return shape, but not with these invocation concerns.

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 schema covers only about 50% of the parameters with descriptions, and the description adds no parameter-level meaning. It does not explain target_index, expected_before, value_normalized, or the safety role of allow_master. Given the incomplete schema coverage, the tool description needed to compensate but does not.

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 action — 'Dispatch one REC_MIDIController value' — and the context in which it operates ('while playback and recording are active'). The tool name and annotation title reinforce that this is an automation-recording operation. It loses the top score because 'REC_MIDIController' is unexplained jargon and the description does not explicitly say that this records automation as opposed to merely sending a MIDI event.

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 phrase 'while playback and recording are active' gives an implicit usage precondition, but the description never says when to prefer this tool over sibling parameter tools like fl_set_mixer_volume, fl_set_mixer_pan, or fl_set_channel_mix. It does not provide exclusions, alternatives, or failure conditions, so an agent gets only a loose sense of when this is the right call.

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, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds 'without changing FL' and 'bounded,' which are mild behavioral clarifications, but it does not disclose additional traits such as output placement, determinism details, or any constraints beyond the schema.

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 a single, front-loaded sentence with no filler. It communicates the action, the input source, the output type, and the side-effect guarantee efficiently.

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 strong annotations, the description does not need to explain return values or safety. However, given the tool has nine parameters and only one is clarified, the description is not fully self-sufficient for an agent deciding how to configure optional parameters.

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 only 33%, so the description needs to compensate. It adds meaning for one key parameter by clarifying that the progression is in Roman-numeral form, but the remaining parameters (root, style, seed, octave, tempo, collection, beats_per_chord, custom_intervals) receive no additional semantic guidance.

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 uses a specific verb and resource: 'Generate a bounded bass part from Roman harmony.' It clearly identifies the output as a bassline, which distinguishes it from sibling tools like compose_melody and compose_drums. The phrase 'without changing FL' also clarifies the read-only nature of the operation.

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 description gives clear context for when to use the tool: when a bass part needs to be generated from a Roman-numeral harmonic progression. It does not explicitly name alternatives or exclusion conditions, so it stops short of full routing guidance, but the intended use case is evident.

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, idempotentHint=true, and destructiveHint=false, covering the non-mutating safety profile. The description adds the specific 'without changing FL' context and the voice-led behavior, but does not disclose additional behavioral details such as how generated chords are returned or how parameters interact. No contradiction with annotations.

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 with high signal-to-noise: the verb, target resource, key musical behavior, and non-mutating constraint are all front-loaded. There is no filler or redundant restating of the title or 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?

Given the 9-parameter complexity, annotation coverage, and presence of an output schema, the description is adequate but thin. It does not explain when to select this tool over compose siblings, nor does it clarify the meaning of the less obvious parameters. The output schema reduces the need to describe return values, but broader usage context 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 only 44%, and the description adds no parameter-level meaning. Several parameters (octave, velocity, tempo_bpm, beats_per_chord, custom_intervals) lack schema descriptions, and the tool description does not compensate. While some names are self-explanatory, custom_intervals in particular remains underspecified.

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 uses a specific verb ('Generate') with a clear resource ('voice-led triads/sevenths') and a distinguishing constraint ('without changing FL'). This clearly differentiates it from sibling composition tools like compose_melody, compose_bassline, and compose_drums, as well as FL-mutating tools.

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 phrase 'without changing FL' gives useful context that this tool is non-mutating, but the description does not explicitly state when to prefer this tool over alternatives like compose_melody, compose_bassline, or piano_roll_write_notes. Usage context is implied but no explicit when/when-not guidance is provided.

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, destructiveHint=false, and idempotentHint=true, covering safety and determinism. The description adds 'without changing FL' which reinforces the read-only behavior but contributes little beyond annotations. It does not describe how output is delivered (e.g., returned pattern object) or any 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?

The description is a single, efficient sentence that front-loads the core action and resource, then states a key behavioral constraint. No wasted words; brevity is appropriate for a simple generation tool.

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 7 parameters, a complex drum_map schema, and a rich environment of sibling tools, the one-sentence description is insufficient. It does not explain how the output is provided (despite an output schema), what role seed/style play, or how the drum_map fallback works—leaving agents to infer critical usage context from parameter names 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 only 43%, and the tool description does not compensate. It mentions 'mapped' which hints at the drum_map parameter, but seed, style, swing, and other parameters are not elaborated. The description adds minimal meaning beyond what parameter names and types already convey.

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 clearly states the tool generates mapped drum patterns (kick/snare/hat) and explicitly notes it does not modify the FL project. This distinctively separates it from sibling composition tools like compose_melody or compose_bassline.

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 description implies when to use this tool (when drum patterns are needed and no project changes are desired) but does not explicitly mention alternatives or exclusion criteria. No sibling differentiation is provided, so the usage guidance is implied rather than stated.

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 destructiveHint=false; the description reinforces this with 'without changing FL' and adds output constraints ('bounded scale-aware'). However, it doesn't disclose details like output format or performance implications.

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 sentence that front-loads the action and outcome, with no redundancy. Every word adds value.

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 11 parameters and only a one-sentence description, the definition is far from complete. It lacks usage guidance and parameter semantics, though output schema partially covers return values.

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 only 27%, with just root, seed, and collection described. The description doesn't elaborate on bars, contour, density, register, or custom_intervals, so agents lack essential parameter meaning beyond names and defaults.

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 ('Generate'), resource ('a bounded scale-aware melody'), and scope ('without changing FL'), distinguishing it from sibling tools like compose_chord_progression or fl_set_tempo.

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 guidance on when to use versus alternatives; however, the name and description make the use case for melody generation clear. Sibling tools (compose_bassline, compose_drums) imply this is the melody-specific tool, but no exclusions or contextual triggers are provided.

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 carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the description's burden is lighter. It adds the 'compact' scope and confirms the report covers project/mixer/effects, which aligns with read-only behavior. No contradiction with annotations. It does not describe the report's structure, but the presence of an output schema lessens that need.

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 zero filler. The core action and scope ('compact project, mixer, and effect inspection report') appear immediately, and nothing else is stated that could be trimmed.

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?

This is a low-complexity tool: zero required parameters, all optional with defaults, full schema coverage, and an output schema that documents the return structure. Given those structured assets, the one-line description is largely sufficient for a read-only snapshot tool. A minor gap is that it never hints the report is for quick orientation or that params tune its depth, but this is secondary.

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% — all three parameters (only_used, max_plugins, parameter_limit) are documented with clear descriptions and bounds. The description adds no parameter-level information, but with full coverage the baseline of 3 is appropriate; the schema does the heavy lifting.

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 action ('Capture') and a clear resource ('a compact project, mixer, and effect inspection report'). It indicates the report spans three domains, which is more precise than a bare tautology. It does not explicitly differentiate from the many sibling inspection tools (fl_get_project_summary, plugins_scan_loaded_plugins, fl_inspect_mixer_track), but the 'compact, combined report' framing offers some distinctiveness.

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 description gives no guidance on when to use this tool versus the roughly 200 siblings. It does not name alternatives, state exclusion conditions, or explain where a compact overview fits in the workflow. An agent deciding between this and fl_get_project_summary, plugins_inspect_parameter_map, or mix_get_plan gets no routing help.

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 mark this as a non-read-only, destructive, non-idempotent call. The description adds 'without replay', but doesn't say what a closed-union application does to existing state, when writes are committed, or what happens on unverified items — especially important for a destructive tool whose schema includes stop_on_unverified and per-item receipts.

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 or repeated schema information. Every clause ('closed-union', 'after one session preflight', 'without replay') is attempting to convey a distinguishing property rather than padding.

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 destructive, non-idempotent batch writer with 23 operation discriminated union variants, this one-sentence description is thin. It doesn't connect the batch to the required preflight step by name, explain what 'verified' means, or indicate how failures are handled; the rich schema and output schema carry most of the burden.

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 operations parameter's own description adds crucial semantics (ordered absolute writes, unique operation IDs and written fields, per-item receipts). The tool description itself contributes no parameter-level information, 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 a concrete action ('Apply') and object ('a closed-union batch') and adds two meaningful qualifiers: it happens after a single session preflight and without replay. This is more than a restatement of the tool name, but the jargon terms 'closed-union' and 'preflight' are not decoded, and no sibling tool is named, so it stops short of full clarity.

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?

'After one session preflight' implies a precondition and suggests this is the bulk-write counterpart to a preflight read, so the usage context is weakly signaled. However, it gives no explicit when-not guidance and does not name the individual fl_set_* setters or apply_plan siblings it should be preferred over or combined with.

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, destructiveHint=false, and idempotentHint=true, covering safety. The description adds a meaningful behavioral detail—'without changing the current pattern'—which is not captured by any annotation. This goes beyond the structured metadata and clarifies the tool's side-effect-free nature on selection.

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 a single, front-loaded sentence that states the core action and a key constraint with zero filler. Every word earns its place, and it is immediately scannable.

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 (one optional parameter) and read-only, with annotations covering safety. An output schema exists (not shown but indicated), so return format is covered. The only minor gap is the meaning of 'default-empty pattern,' which is domain-specific but likely understood in context. Overall, nothing essential is missing for a correct call.

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%; the parameter 'start_pattern_number' is already documented as 'First pattern number to inspect.' The description does not add additional semantics beyond what the schema provides. Baseline of 3 is appropriate when the schema fully explains the parameter.

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 ('Find'), a clear resource ('first default-empty pattern'), and adds a behavioral qualifier ('without changing the current pattern') that distinguishes it from mutation tools like fl_select_pattern or fl_set_pattern_identity. It is immediately actionable and not a tautology.

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 description implies a usage scenario: you want to locate an empty pattern while preserving the current selection. However, it does not explicitly name alternatives or state when not to use it (e.g., vs. fl_list_patterns or fl_select_pattern). The context is implicit rather than explicit.

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 cover read-only, idempotent, and non-destructive behavior, and the description's 'Report' aligns with these hints. However, the description adds no additional behavioral context such as the nature of the report (e.g., whether it includes version info, connection status, or error handling). With annotations present, the bar is lower, and the description is consistent but contributes minimal extra transparency.

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 a single, compact sentence that front-loads the action ('Report') and the content (integration paths). Every word adds value, with no fluff or repetition. It is an excellent example of conciseness without sacrificing essential meaning.

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 zero-parameter tool with an output schema, the description is mostly complete. It specifies what is reported (direct, partial, unavailable, unvalidated integration paths) but does not elaborate on how these are determined or what the output schema contains. Given the presence of an output schema, the description is adequate but could benefit from a note on typical use cases or interpretation.

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 has zero parameters and schema coverage is trivially 100%. The description tells what the tool reports, which is meaningful even without parameters. Since there are no params to document, the description fully satisfies the need for parameter semantics, warranting the baseline high score.

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 clearly states the verb 'Report' and the resource 'integration paths', specifying four categories (direct, partial, unavailable, unvalidated). It distinguishes from siblings by focusing on capability status rather than specific parameter scanning or project details. The annotation title 'Get verified FL capabilities' adds further clarity, though the description alone is somewhat cryptic without context.

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 on when to use this tool versus alternatives. The description does not mention prerequisites, typical scenarios, or exclusions. While the tool is likely for capability discovery, the lack of explicit usage context forces the agent to infer from the name and siblings, which is insufficient for making correct tool selection decisions.

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, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful context beyond annotations by emphasizing 'authoritative' and requiring a 'loaded plug-in,' which clarifies data source and a precondition. No contradiction 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?

A single front-loaded sentence with no filler. It communicates the action, resource, source authority, and scope efficiently.

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 tool with strong annotations, a full input schema, and an output schema, the description is nearly complete. It lacks only explicit usage-alternative routing and edge-case notes, which are not critical for correctness here.

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 fully documents the target discriminator and both target variants with descriptions. The tool description does not need to add parameter details, and it does not; it only restates the 'one loaded plug-in' scope already implied by 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?

The description clearly states the verb (read), resource (preset count), and scope (one loaded plug-in), which distinguishes it from preset list/select tools. However, it does not explicitly name or contrast sibling tools like plugins_list_presets or fl_select_plugin_preset, so it stops short of full sibling 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?

No guidance is given on when to use this tool versus alternatives. The description implies a read-only count use case but does not state exclusions, preconditions beyond 'loaded,' or scenarios where a sibling tool would be more 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 readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds value by specifying what is read (bounds, position, hint, dirty state), giving the agent a concrete expectation of the tool's behavior without contradiction.

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 that names the operation and all key data fields with no filler. Every word 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?

For a parameterless read-only getter with an output schema and rich annotations, this description supplies all necessary context: what is being read and that it is non-destructive. No preconditions or side effects need explanation.

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 input schema has zero parameters and 100% schema coverage, so there is nothing for the description to add about parameter meaning. This aligns with the baseline for a no-parameter tool.

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 uses the specific verb 'Read' with a clear resource ('project history') and enumerates the exact data returned: undo/redo bounds, current history position, hint, and dirty state. This sharply distinguishes it from mutation siblings like fl_undo and fl_redo.

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 read-only phrasing establishes that this is for inspecting history state rather than changing it, and the sibling context makes fl_undo/fl_redo the obvious mutating alternatives. It does not explicitly state 'use before undo/redo' or name an alternative, but the usage context is clearly implied.

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 cover the safety profile: readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds the scope of data read (counts, dirty state, version, transport state), which is useful context but doesn't clarify what 'dirty state' entails or the nature of the return. No contradiction with annotations; with the annotations present, the bar is lower and this adds acceptable value.

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 11-word sentence, front-loaded with the active verb and resource, then an efficient enumeration of content areas. Every word earns its place with zero fluff. This is model concise writing for a zero-param read tool.

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-parameter, read-only tool with a present output schema (which covers return values) and strong annotations, the description is nearly complete. It enumerates the data domains covered. The only gap is not addressing the overlap with fl_get_transport_state and fl_get_project_history, which is a minor omission given the low complexity.

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 has zero parameters, so the rubric baseline is 4. There is nothing for the description to document — schema coverage is 100% vacuously. No parameter description is needed and none is provided, which 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 ('Read') and a clear resource scope ('project metadata, counts, dirty state, version, and transport state'). The name 'project summary' plus the enumerated content makes the purpose concrete. It does not explicitly differentiate from overlapping siblings like fl_get_transport_state, which also reads transport state, but the breadth of the summary is clear enough on its own.

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 or when-not-to-use guidance is provided. Critically, the description silently overlaps with fl_get_transport_state (transport state) and fl_get_project_history without noting when to prefer one over the other. Usage context is only implicit in the tool name itself; there are no explicit alternatives or exclusions.

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, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds that it reads 'raw endpoints and PPQ' and does not 'claim meter or rendering semantics', which provides some context on the nature of data returned. However, it does not describe what the output looks like, any side effects (likely none given readOnly), or any limitations beyond the vague disclaimer. With annotations covering safety, the description offers limited additional behavioral insight.

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 one sentence with no filler. It front-loads the action ('Read') and a key detail (raw endpoints and PPQ). However, the phrasing is terse and uses jargon that may be unclear, but conciseness is positive.

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 has an output schema (not shown in detail) that could clarify return values, but the description still lacks clarity on what 'endpoints' and 'PPQ' mean, and no guidance on when to use it. Given the complexities of FL Studio concepts, the description is too vague to fully guide an agent on what to expect or how to interpret the result. It doesn't mention any prerequisites or connection to other 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 has zero parameters)Skip; the description correctly adds no parameter semantics. Since there are no parameters to describe, the description does not need to compensate, but it also doesn't add value in this dimension. The baseline for 0 params is 4, but given that the description is vague about what the read returns, the parameter semantics dimension is moot; I'll rate 3 as neutral.

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 says 'Read raw endpoints and PPQ' which is specific about what is read, but it is not entirely clear what 'endpoints' and 'PPQ' refer to in the context of FL Studio. It mentions 'without claiming meter or rendering semantics', which hints at a distinction but the core purpose is somewhat ambiguous. It doesn't explicitly name the resource as a playlist selection, though the title is 'Get raw Playlist timeline selection', which is in annotations.

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 description does not state when to use this tool or contrast it with alternatives. There is no mention of when to prefer this over other read tools like fl_get_project_summary or fl_get_transport_state. The vague phrasing 'without claiming meter or rendering semantics' implies it is for raw data, but it does not explicitly state the context in which this is the right choice.

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, idempotentHint=true, and destructiveHint=false, covering safety behavior. The description adds only the notion of an 'explicit' grid and conflict digest; it does not disclose additional behavioral traits such as failure behavior, cache effects, or output semantics beyond what structured annotations and output schema provide.

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 a single front-loaded sentence with no filler. It states the action and resource immediately and avoids repeating any schema or annotation 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?

For a simple read-only, two-parameter tool with full schema coverage, idempotency annotations, and an output schema present, the description is sufficiently complete to invoke the tool correctly. The main gap is the absence of usage guidance relative to sibling read tools, but that is not critical for a focused getter.

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 each parameter has a basic description ('Global channel index', 'Explicit current pattern number'). The description's phrase 'explicit current-pattern/channel grid' loosely maps to the two required parameters but adds little semantic detail beyond the schema. Baseline 3 is appropriate because the schema carries the parameter documentation burden.

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 uses a specific verb ('Read') and a specific resource ('explicit current-pattern/channel grid') plus mentions 'conflict digest', clearly indicating a read operation on a particular structure. It is distinct from the setter sibling fl_set_step_sequenceanding, but the phrase 'current-pattern/channel grid' relies on domain jargon and could be slightly clearer for an agent.

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 about when to use this tool versus alternatives like fl_list_patterns, piano_roll_read_notes, or fl_get_selected_range. The description implies a read use case but does not state exclusions, prerequisites, or when another read tool might be more 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 readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and side-effect behavior. The description adds value by specifying exactly which transport aspects are exposed (playback, recording, loop mode, position, song length), which is not captured in the annotations. It does not contradict any annotations and provides behavioral context beyond the structured hints.

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 a single sentence that front-loads the verb 'Read' and enumerates the fields concisely. Every word adds value, with no redundancy or filler. The structure is ideal for a simple getter.

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 is complete enough for a parameterless read with annotations covering safety and an output schema (not shown) that presumably defines the return structure. It lists all key transport aspects an agent would want to query. The only minor gap is not stating that it returns the current values, but that is implied by 'Read'. Overall, it is sufficient for correct invocation.

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 has zero parameters, so there is nothing to document. The schema coverage is trivially 100% and the description needs no parameter details. Per the rubric, a baseline of 4 applies for zero parameters, and since the description is entirely sufficient for a parameterless read, a score of 5 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?

The description clearly states the verb 'Read' and the resource 'transport state', explicitly listing the attributes (playback, recording, loop mode, position, and song length). This distinguishes it from sibling setter tools like fl_set_playing or fl_set_song_position, which are inherently mutating. The tool's read-only nature is made obvious, so an agent can immediately understand its role.

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 description implies usage as the read counterpart to transport setters but does not explicitly state when to use it over other getters or mention that modifications require fl_set_* tools. While the verb 'Read' makes its purpose clear, there is no explicit guidance on when not to use it or how it contrasts with other read tools like fl_get_selected_range. The guidance is present but not detailed.

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, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the scope of what is read (state, effects, EQ, routes), which is modest context beyond the annotations but not rich behavioral detail.

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 zero filler. The core purpose ('Read one track's state') appears first, and every word carries meaning.

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 single-parameter read-only tool with well-documented schema, safety annotations, and an output schema, the description is nearly complete. The only gap is the absence of differentiation from list-type siblings, which is minor given the clear read scope.

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 schema already documents track_index well, including the zero-based convention and that index 0 is Master. The description adds no parameter-specific meaning 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?

Uses a specific verb ('Read') with a clear resource ('one track') and enumerates the exact content inspected (state, effects, built-in EQ, outgoing routes). This is easily distinguished from sibling fl_list_mixer_tracks, which lists tracks rather than inspecting one.

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 on when to use this tool versus alternatives such as fl_list_mixer_tracks or fl_get_capabilities. The description does not mention any exclusion criteria, prerequisites, or selection conditions, leaving the agent to infer usage context.

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, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds useful context about the scope ('globally addressed') and the content of results (mix state, routing, generator identity), which goes beyond the annotations. No contradictions.

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 a single, compact sentence that front-loads the action and lists the key outputs. Every word contributes value, with no fluff 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, zero-parameter tool, the description is sufficiently complete. It states what is listed and what aspects are covered. An output schema exists, so the return format is handled elsewhere. No critical missing information for correct invocation.

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 has zero parameters, so the description doesn't need to explain any. The schema is empty and fully covered. The baseline of 4 for zero-parameter tools applies, and the description provides no misleading info.

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 clearly states the tool's action (list) and the resource (globally addressed channels), and specifies what information is returned (mix state, routing, generator identity). This distinguishes it from sibling tools like fl_list_mixer_tracks or fl_list_patterns, which target different resources. The verb and resource are specific and unambiguous.

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 description implies usage when channel information is needed, but it does not explicitly contrast with alternatives or state when not to use it. With many sibling list tools, an agent might need more guidance on selecting this over others. However, the purpose is clear enough for basic selection.

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, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no extra behavioral traits (e.g., pagination, performance caveats, or that it queries live state). It is consistent with annotations, so no penalty, but also no added value.

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 a single compact sentence that front-loads the verb and resource and then lists the useful data fields. There is zero filler and it immediately communicates the tool's core 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?

For a low-complexity read-only listing tool with full schema coverage, annotations, and an output schema, this description is basically enough. It could mention that it returns all tracks or hint at the optional filtering params, but the existing structured fields already cover those.

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%, so the schema already documents each parameter (only_used, max_tracks, include_peaks) with descriptions. The tool description adds no extra meaning to the parameters, 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?

The description states a specific verb ('List') and resource ('mixer tracks'), plus the kinds of data returned ('current levels, selection state, loaded effects'). This is clear and mostly distinguishes from the singular inspection sibling (fl_inspect_mixer_track), though it does not explicitly say 'all tracks' or name that alternative.

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 description implies usage when a read-only overview of mixer tracks is needed, but it does not explicitly contrast with fl_inspect_mixer_track or other listing tools. There is no when-not-to-use guidance, though the tool name and sibling list make the common case understandable.

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, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is well covered. The description aligns with these annotations and adds the specific returned fields, but it does not add operational caveats such as scope or ordering. With such strong annotation coverage, the description does not need to carry much additional behavioral burden.

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 a single sentence with no filler. The action and the returned attribute categories are front-loaded, and every word contributes to the agent's understanding.

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-parameter, read-only listing tool with a declared output schema and fully covered safety annotations, the description is complete. It identifies the resource and the fields surfaced, and nothing else is needed for correct invocation.

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?

This tool has zero parameters and the schema coverage is complete, so there are no parameter semantics for the description to clarify. The description usefully indicates what the response concerns—pattern identity, length, state, and empty/default status—which is the only relevant semantic for a no-argument listing call.

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 opens with an active verb ('List') and a specific resource ('patterns'), then enumerates the returned dimensions: identity, length, current state, and empty/default status. This is clear enough for an agent to tell it apart from mutating pattern tools like fl_set_pattern_identity and fl_set_pattern_length, though it does not explicitly name sibling alternatives.

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 description provides no guidance on when to use this tool versus related siblings such as fl_find_empty_pattern, fl_select_pattern, or the fl_set_pattern_* tools. Usage context is only implicit in the verb 'List' rather than explicitly stated.

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?

The description adds meaningful context beyond the annotations by specifying one-based indexing and that the result includes each track's controllable state. The annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint) already cover safety, so the description's extra detail about indexing and content is sufficient and non-contradictory.

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 no wasted words. The action and resource are front-loaded, and the specific qualifiers (one-based, controllable state) are included without 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 zero-parameter read-only listing tool with an output schema available, the description fully covers what the tool does and what it returns. No additional context (e.g., pagination, limits) is necessary for an agent to call it correctly, and the annotations cover the safety profile.

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 has zero parameters, so schema coverage is trivially 100%. The description does not need to explain parameter semantics, and the baseline for 0 parameters is 4. The description's mention of 'one-based' and 'controllable state' adds context about the output rather than parameters, which is not required here.

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 clear action ('List'), the specific resource ('Playlist tracks'), and defines the scope ('every one-based' and 'its controllable state'). It distinguishes this from sibling list tools like fl_list_mixer_tracks and fl_list_patterns by naming the resource type 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?

The description implies usage (if you need playlist tracks, use this) but provides no explicit when-to-use guidance or alternatives. It does not mention cases where the agent should prefer fl_list_mixer_tracks or fl_list_patterns, nor any exclusion conditions.

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 mark this as destructive and non-read-only, so the description's main added value is the phrase 'and verify it', which hints that the tool actively confirms the resulting history state. It does not explain guard-failure behavior or what exactly gets verified, though the output schema may cover the return shape.

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 with no wasted words, front-loading the core action ('Move...') before the secondary verification detail. It avoids repeating the title or restating schema 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?

For a simple two-optional-parameter tool with a rich schema, output schema, and safety-related annotations, the description is nearly sufficient. The main gap is the missing explicit relationship to fl_undo and guidance about when the guards should be 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?

The schema provides 100% coverage with detailed descriptions for expected_before and session_fingerprint, including their roles as guards. The description adds no parameter-specific semantics, which is acceptable because the schema already carries that burden.

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 action ('Move to the next...') on a defined resource ('absolute undo-history position') and adds a verification step. It is less immediately transparent than 'redo the last undone change', but the title annotation and sibling fl_undo disambiguate the intent.

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 'next' qualifier implies this is the forward counterpart to fl_undo, so an agent can infer when to use it. However, the description never explicitly says 'use after fl_undo' or names alternatives, prerequisites, or conditions under which this tool should be preferred.

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?

The annotations already carry destructiveHint=true and readOnlyHint=false, and the description does not contradict them. The added 'verify it' hints at a post-write check but does not explain what verification entails, what side effects occur, or what happens to the previous routing. A minimal but not misleading disclosure.

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 sentence with zero filler. The core action and object are front-loaded, and every word contributes to understanding 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?

The schema provides the guardrails and parameter docs, and annotations cover safety, so the description is not dangerously incomplete. However, it does not explain operational semantics such as what verification means, when guards are needed, or what happens on a mixed route failure. For a 4-parameter destructive route tool, more operational context would be expected.

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 parameters already document 'global channel index', 'absolute mixer destination', the expected_before guard, and session_fingerprint meaning. The description mostly paraphrases the schema rather than adding new parameter-level semantics.

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 clearly names the action (Set), the resource (one global channel), and what is being changed (absolute mixer destination), plus a verification step. It does not explicitly distinguish from sibling tools like fl_set_channel_mix or fl_set_mixer_send, so it misses full 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 guidance about when to use this tool versus alternatives, no mention of prerequisites, and no explanation of how the optional expected_before or session_fingerprint guards should guide invocation. The agent is left to infer usage context from the schema alone.

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 disclose destructiveHint=true and readOnlyHint=false, and the description adds 'exclusively' (implying replacing the current selection) and 'verify' (implying a confirmation step). It does not detail what state is destroyed or what the verification actually returns, but it does extend beyond the annotations.

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 one compact sentence with no wasted words; it says what it does in the first clause and adds an extra trait in the second. It is efficient, though nothing is grouped or front-loaded in a way that improves digestibility because it is too short to need 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?

The tool has only three parameters and no output schema, so the description carries more responsibilities. It does not objectively cover what 'verify' returns, what happens if the selection is not accepted, or how session_fingerprint and expected_before affect the result, although the schema already partially explains those parameters.

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 each parameter is already documented in the input schema. The description merely says 'global channel', echoing the schema's 'Global channel index,' and adds no extra meaning about expected_before or session_fingerprint.

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 uses a specific verb ('Select') and resource ('one global channel') plus a distinguishing quality ('exclusively' and 'verify the complete selection'). It is clear enough to separate it from sibling tools like fl_select_mixer_track or fl_select_pattern, though it never explicitly names an alternative to differentiate against.

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 the tool versus other selection tools, no conditions are mentioned, and no explicit 'when not to use' is given. The phrase 'exclusively' suggests the primary use, but an agent is left on its own to infer whether this tool is the right one rather than fl_select_mixer_track or a channel-toggle action.

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 a non-read-only, destructive, non-idempotent mutation, so the bar is lower. The description adds one useful behavioral detail: the operation verifies the active-track getter after selecting. It does not disclose side effects on the previously active track or failure behavior on guard mismatch, though some of that is encoded in the schema.

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 a single short sentence and front-loads the core action. The trailing 'verify the active-track getter' phrase is slightly awkward but not verbose.

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 a guarded write with 4 parameters, but the schema and annotations carry most of that context and an output schema exists. What is missing is any use-case framing or relationship to sibling mixer tools, so an agent gets no help deciding when this tool is the right one.

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 even without parameter details in the description. The description adds no parameter-level meaning; it merely names the action. The schema already explains track_index, allow_master, expected_before, and session_fingerprint adequately.

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 action ('make one mixer track active') on a specific resource ('mixer track'), which separates it from mixer property setters and read-only inspectors. The appended 'verify the active-track getter' clause slightly muddies whether the tool is a selector or a verifier, but the primary verb/resource is unambiguous.

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 description offers no guidance on when to use this tool versus fl_list_mixer_tracks, fl_inspect_mixer_track, or the many fl_set_mixer_* siblings. It neither states prerequisites nor excludes cases such as master selection or concurrency-guarded writes. The schema hints at these, but the description itself provides no usage context.

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 this as non-read-only and destructive; the description adds the post-selection verification of the getter, which is a useful behavioral detail beyond annotations. However, it does not clarify what state is affected or why the operation is flagged destructive, so the extra disclosure is partial.

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 a single front-loaded sentence with no filler, and both clauses carry information: the selection action and the verification behavior. It is appropriately sized for this tool.

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 plus fully described parameters make basic invocation clear, and the description states the action and the verify behavior. For a mutation tool with a concurrency guard, it would benefit from a sentence on when to use it and what state it changes, but the structured fields fill most gaps.

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%: pattern_number, expected_before, and session_fingerprint all have descriptive text, including the concurrency-guard semantics. The description adds no parameter-level information, 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 uses a specific verb-resource pair ('Select one pattern') and adds a second, distinctive behavior (verifying FL's current-pattern getter), so an agent can tell this is the pattern-selection tool rather than fl_list_patterns or fl_set_pattern_identity. It does not explicitly name alternatives, so it falls short of a 5.

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 action itself implies when to call it (when the agent wants to make a pattern current), but there are no explicit when-to-use/when-not-to-use conditions or alternative tool mentions. With dozens of pattern and mixer-selection siblings, the routing guidance 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?

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false. The description adds a behavioral detail beyond annotations by mentioning a post-navigation identity readback, but the phrase 'later-idle-tick identity readback' is unexplained and cryptic. There is no contradiction with the annotations, but the added context is minimal.

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 a single concise sentence with no filler words; it front-loads the core action. However, the second clause is dense and lacks explanation, so it earns a 4 rather than a 5 for ideal clarity.

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 has a complex schema (8 parameters, nested target discriminator, multiple concurrency and fingerprint guards), but the description only gives a two-part imperative. An agent cannot infer how to correctly set expected_current, target_fingerprint, session_fingerprint, settle_tick_limit, or max_navigation_steps from this description. The presence of an output schema does not compensate for missing operational 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 the schema fully documents parameters like preset_name, preset_index, expected_current, and the fingerprint guards. The description adds no additional parameter meaning, and the baseline of 3 applies because the schema carries the burden.

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 a verb ('Navigate') and a resource ('exact preset'), which is more than a tautology)Skip the vague phrase 'require later-idle-tick identity readback' obscures the core operation. It does not explicitly state that this selects a plugin preset, and the readback jargon makes the purpose partly opaque.

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 about when to use this tool instead of siblings like plugins_list_presets, plugins_get_current_preset, or fl_get_plugin_preset_count. The description implies a selection operation but offers no context on prerequisites, alternatives, or conditions that would route an agent to this tool.

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