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

With no annotations, the description carries the behavioral burden. It does disclose an important trait: the tool is read-only and will not modify the playlist. It does not cover authentication, return format, or duplicate-detection criteria, but the read-only guarantee is meaningful.

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 core action and the important non-mutating constraint are both front-loaded.

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 one-parameter read-only tool, the core operation is clear. The main gaps are the missing playlist identifier format and any guidance about the expected result shape, but the overall scope is modest.

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 only a required string named 'playlist' with no description, and the tool description does not clarify whether this should be a Spotify playlist ID, URL, or name. The description adds only the domain context 'Spotify playlist' without specifying the accepted format.

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 ('Find repeated tracks in a Spotify playlist') and adds a clear non-mutating qualifier ('without changing it'). This distinguishes it from mutation-oriented siblings like spotify_organize_playlist.

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 intended use case is implied: call this when you want to detect duplicates in a playlist. However, it does not explicitly mention alternatives or conditions for when not to use 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 are absent, so the description carries the full burden. It discloses that the tool is 'deterministic' and keyword-based, but omits whether it is read-only, what happens on no matches, or any authentication/rate limits. The 'preview' wording implies a non-destructive read, but it isn't explicitly stated.

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 fluff. However, it is too sparse to be effective — it trades completeness for brevity and misses key usage and parameter details that would help an agent call the tool confidently.

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 tool with a nested object schema and no output schema or annotations, this description is not complete. It doesn't define what output ('categories') is returned, how the rules map to songs, or any edge cases. An agent would likely need to contact the schema to understand the 'rules' object and playlist parameter, which defeats the description's raison d'être.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must contextualize both parameters. It hints that 'rules' relate to 'title, artist, and album keywords', but gives no structure for the 'rules' object or whether 'playlist' is a name or ID. It does not help the agent understand how to provide the required parameter correctly.

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 phrase 'Preview deterministic playlist categories' clearly identifies a classification action on a playlist, and 'using title, artist, and album keywords' explains the method. It distinguishes itself from sibling operation like 'check_playlist_duplicates' and 'organize_playlist', though it doesn't explicitly contrast with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives, prerequisites, or types of playlists. The description does not mention common cases like playlists with missing metadata or how this differs from 'youtube_classify_playlist' or 'spotify_organize_playlist'.

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

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

No annotations are provided, so the description carries the full burden. It says nothing about return shape, pagination/limit behavior, network calls, authentication, or side effects. The only behavioral hint is that it accepts multiple input formats, leaving the agent to guess what happens with each.

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 states the action and input forms without wasted words. Excellent for a simple tool description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description should tell the agent what the tool returns and how the parameters shape behavior. It does not explain the return value, the meaning of 'limit', market filtering, or what 'identify' means as an operation. The description is too sparse for confident 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 input schema has zero descriptions, so the description must clarify the parameters. It partially does by mentioning Spotify/YouTube links, ISRC, search text, and 'title and artist', but it never explicitly ties these to the 'input' and 'artist' parameters, and it says nothing about 'limit' or 'market'. Coverage is inadequate for four parameters.

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 ('Identify') on a resource ('track') and enumerates accepted input formats. It is immediately clear what the tool does. However, it does not contrast this with the overlapping sibling tools spotify_search_tracks, spotify_resolve_links, or youtube_identify_track, so sibling differentiation is missing.

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 used to turn links or search text into a track identity, but it gives no explicit guidance on when to choose it over alternatives. There are several close siblings and no exclusion criteria, so an agent gets little direction about when this tool is the right one.

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

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

With no annotations, the description must carry the full behavioral burden, and it does disclose the key mutation behavior: apply replaces only matching derived playlists while preview is non-destructive. Still, it omits important side-effect details such as whether apply can delete or rename existing playlists, whether the source playlist is modified, and whether the operation is idempotent.

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 definition is two sentences with no filler: the first sentence front-loads the action and resource, and the second isolates the critical caveat about replacement behavior. Every clause 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?

Given no annotations, no output schema, a nested and undocumented 'rules' parameter, and five total parameters, this description is not complete enough for safe invocation. The agent knows the broad intent but cannot reliably determine rule syntax, the effect of prefix/public, or the full consequences of applying changes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but it only roughly maps to two parameters: 'Preview or apply' maps to mode, and 'source Spotify playlist' maps to playlist. The central 'rules' object, along with prefix and public, are left entirely unexplained, which is a serious gap for an agent trying to construct a valid 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 names a concrete action ('Preview or apply') on a clearly defined resource ('category playlists derived from a source Spotify playlist') and adds a distinctive behavioral detail ('Apply replaces only matching derived playlists'). It is specific enough to separate it from generic playlist tools, though it does not explicitly compare against nearby siblings like spotify_classify_playlist.

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 preview-then-apply workflow and warns that apply replaces only matching derived playlists, which is a useful usage caution. However, it never states when to choose this tool over alternatives such as spotify_classify_playlist or the YouTube playlist tools, and it offers no explicit exclusions or when-not-to-use guidance.

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

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It doesn't mention whether the tool makes network calls, rate limits, or failure handling for invalid links. Since there is no output schema, the agent doesn't know what to expect in the response. The description is purely functional without explaining side effects or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no unnecessary words. It is front-loaded with the core purpose. It could benefit from mentioning the output format or failure handling, but it is appropriately concise for its length.

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 that there is no output schema and no annotations, the description is incomplete for an agent to call the tool correctly. It doesn't specify the exact format for links (e.g., Spotify track URLs vs Apple Music), the max batch size (though schema indicates 50), or how to handle invalid links. The optional 'market' parameter is undocumentedž For a batch resolution tool, this is a significant gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the parameters are undocumented in the schema. The description mentions 'Spotify or YouTube links' but doesn't explain the 'links' parameter format (e.g., URLs vs URIs). The 'market' parameter is not mentioned at all. Since there are only two parameters and the description provides some context for 'links', it adds partial value, but the market parameter remains unexplained.

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 identifies the tool as resolving a batch of Spotify or YouTube links into Spotify track candidates. It states the verb (resolve), the resource (links), and the output (Spotify track candidates). It distinguishes from siblings by mentioning YouTube links, which is unique. However, it doesn't explicitly mention the batch aspect or the output format, but the verb+resource is clear.

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 for converting links to Spotify track candidates, and the batch aspect is implied by 'batch'. However, it doesn't provide explicit guidance on when to use this tool versus alternatives like youtube_resolve_links or spotify_search_tracks. There's no mention of prerequisites or links that fail resolution. The context is clear but lacks exclusions or alternatives.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that it searches the catalog, implying a read-only operation, but does not mention rate limits, authentication, pagination, result ordering, or any side effects. The lack of such context is a significant gap for a search tool that returns a list of tracks.

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 with no filler, and the core action is front-loaded. However, it lacks any structured breakdown of parameters or usage scenarios, which would have added value without excessive length.

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 has 3 parameters, no output schema, and no annotations, the description is far from complete. It does not explain the return format, pagination, or the semantics of 'limit' and 'market', and provides no usage examples or context. An agent would need to inspect the schema (which lacks descriptions) or guess, making this insufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter meaning. It partially explains the 'query' parameter by listing search fields, but completely ignores 'limit' (default 10, max 50) and 'market' (two-letter country code). The agent gets no hint about pagination or market filtering, leaving these parameters 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 states a specific verb ('Search'), a clear resource ('Spotify catalog'), and a target ('tracks'), and enumerates the search dimensions ('by title, artist, album, or free text'). This makes the tool's purpose unambiguous and distinct from siblings like spotify_identify_track (audio identification) or spotify_resolve_links (link resolution).

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 the sibling search-related tools (e.g., spotify_identify_track, spotify_resolve_links, or youtube_search_videos). It does not mention any exclusions, prerequisites, or alternative scenarios, leaving the agent to infer usage from the name 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose one useful behavioral trait: duplicates are skipped during the add operation, and it suggests a preview/apply distinction. However, it does not explain what preview returns, whether apply modifies the playlist irreversibly, or any authentication/rate-limit requirements, leaving material gaps for a tool that mutates state.

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 that front-loads the core operation and duplicates policy. Every word earns its place, with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no output schema and no annotations, the description is too sparse to be fully actionable. It leaves unexplained the exact expectations for 'input' and 'playlist', what the preview mode's result looks like, whether the new mode actually implies idempotency, and how errors or partial results are surfaced. An agent would need to guess or inspect runtime behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It maps 'video' to input and 'playlist' to playlist, and implies mode via 'preview or add', but it does not specify the input format (URL, video ID, search term), the playlist identifier format, or what values are valid for mode beyond the schema's enum. This is minimal added value over the raw 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 tool previews or adds one YouTube video to an existing playlist while skipping exact duplicates. The specific verb and resource combination ('add one YouTube video to an existing playlist') distinguishes it from siblings like youtube_check_playlist_duplicates, youtube_list_playlists, and youtube_create_playlist without needing to open their schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance about when to use this tool versus alternatives. It mentions a preview and apply mode, but does not state what conditions would favor this over e.g. youtube_save_track or youtube_check_playlist_duplicates, nor does it specify prerequisites like needing an existing playlist or how to identify 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?

Since no annotations are provided, the description carries the full burden for revealing side effects. It directly states the key behavioral attribute: the playlist is not modified. It does not detail return shape or edge conditions, but the safety-relevant behavior is explicitly disclosed.

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 wastes no words. It effectively communicates the action and the non-mutating guarantee.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should clarify what the agent receives, such as a list of duplicate entries, counts, or identifiers. It also does not clarify how to supply the playlist parameter. The core purpose is clear, but key invocation details are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The playlist parameter has 0% schema description coverage, and the tool description does not explain whether the value should be a playlist ID, URL, or title. It only establishes that the target is a YouTube playlist, leaving an important ambiguity for the agent.

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?

Clearly states a specific read-only operation: finding repeated videos in a YouTube playlist. 'Without changing it' also distinguishes it from mutation-oriented sibling tools like youtube_add_to_playlist and youtube_organize_playlist.

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 right use case: call it when duplicate detection in a playlist is needed. It provides no explicit comparison or rejection criteria versus the other playlist tools, so the guidance is adequate but not robust.

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

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

With no annotations, the description must fully disclose behavior. 'Preview' and 'deterministic' hint that the operation is read-only and reproducible, but the description does not confirm non-mutation, explain how the rules object affects behavior, or describe the return structure. For a categorization tool with a nested rules param, this is insufficient.

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 and is front-loaded with the most important information. It is not bloated, but the brevity contributes to the semantic gaps noted in parameters and behavioral transparency.

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 0% schema description coverage, no annotations, no output, and a nested object, the description leaves out critical details: the rules object is allowed but its purpose and structure are unsaid, and the output format isn't hinted. This is inadequate for reliable self-contained tool 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 input schema provides zero descriptions for the `playlist` and `rules` parameters. The description mentions only 'title and channel keywords', which indirectly points to the rules content but fails to explain what `playlist` should be (YouTube URL/ID) or how `rules` maps categories to keyword lists. An agent cannot construct valid arguments from the description 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 gives a concrete verb ('Preview'), resource ('categories for a YouTube playlist'), and mechanism ('using title and channel keywords'). It is distinct from sibling tools like youtube_list_playlists or youtube_check_playlist_duplicates, though 'deterministic categories' could be more explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The purpose implies when this tool is appropriate: you want a preview of category/mapping before performing other playlist actions. However, no alternatives are named, and there is no explicit when-not-to-use guidance, leaving some room for misrouting between Spotify and YouTube classifier 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?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It states it creates a playlist, which implies a write operation, but it does not disclose side effects, permission requirements, quotas, or whether the playlist is immediately available. It also does not mention that the operation likely returns a playlist ID or any response details. This is a significant gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words, which is efficient. However, it is so brief that it omits essential information. It is not front-loaded with any constraints or usage notes; it simply states the primary action. The conciseness is good, but it sacrifices necessary substance, making it minimally adequate.

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 tool with three parameters, no output schema, and no annotations, the description is incomplete. It does not explain the parameters, the expected return value, any default behaviors (e.g., privacyStatus default), or any caveats about creating playlists. An agent would have to guess at how to correctly invoke this tool, especially regarding the privacy status and description fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has three parameters (name, description, privacyStatus) with 0% description coverage. The description does not mention any of these parameters, their meanings, defaults, or relationships. Since schema coverage is zero, the description must compensate but fails to add any semantic value beyond the raw schema. The agent is left to infer what 'name', 'description', and 'privacyStatus' mean without context.

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 action ('Create') and the resource ('a YouTube playlist') with a specific scope ('for the authenticated user'). It distinguishes well from siblings like youtube_add_to_playlist (adding tracks) and youtube_list_playlists (listing existing ones). The verb and resource are 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 provides no guidance on when to use this tool versus alternatives. There is no mention of when to create a new playlist versus using youtube_add_to_playlist or youtube_save_track. No conditions, prerequisites, or exclusions are given, so an agent has no help selecting this over 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?

No annotations are provided, so the description must carry the full behavioral burden. It discloses that the tool identifies from various inputs but does not state whether the operation is read-only, what it returns, whether it performs network calls, or any failure or rate-limit behavior. For a tool with no annotation safety profile, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with no filler, and the core accepted input formats are front-loaded. It is appropriately concise and every word contributes to the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is not complete enough given there is no output schema and no annotations. It fails to explain return shape, the semantics of limit and regionCode, or what 'identify' yields (metadata, matched track, etc.). An agent can identify the tool but may not invoke optional parameters 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?

With 0% schema description coverage, the description must compensate for the schema's bare parameter names. It adds useful meaning for the input parameter by listing accepted formats, but it says nothing about limit or regionCode, leaving the agent to guess what those optional parameters control.

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 'Identify' and clearly names the resource ('song/video') plus the accepted input forms (YouTube URL, YouTube Music URL, video ID, or search text). It is clear enough to know what the tool does, though it does not explicitly distinguish itself from siblings like youtube_search_videos or youtube_resolve_links.

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 when-to-use guidance, no exclusions, and no mention of alternatives such as youtube_search_videos or spotify_identify_track. The only context is the accepted input forms, leaving the agent to infer when this tool should be selected over 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only reveals that the operation requires an authenticated user and is a listing operation; it does not state whether the call is read-only, describe pagination behavior, mention rate limits, or indicate what response shape to expect. This is minimal disclosure for a tool with no annotation safety net.

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 short, direct sentence that front-loads the core operation and resource. Every word earns its place, and there is no redundant repetition of the tool name or boilerplate.

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-required-parameter listing tool, the description is minimally adequate: it identifies the resource and the action. However, with no output schema and no annotations, it does not explain what exactly is returned, whether results are paginated, or how the 'limit' parameter affects the response, leaving some ambiguity 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?

The single 'limit' parameter is not mentioned anywhere in the description, and schema description coverage is 0%, so the description provides no added meaning. The schema's type, default, minimum, and maximum give the agent some understanding of 'limit', but the description does not compensate for the lack of explanatory text or clarify how pagination works.

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 ('List') and a specific resource ('the authenticated user's YouTube playlists'), which clearly identifies the operation. It is immediately distinguishable from sibling tools like youtube_create_playlist, youtube_search_videos, and youtube_save_track because it uniquely targets the user's own playlist collection.

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 intended use case is implied: call this when you need to enumerate the authenticated user's playlists. However, there is no explicit guidance about when to choose this over youtube_search_videos or youtube_create_playlist, and no mention of when not to use it. The context is clear but alternatives and exclusions are absent.

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

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

With no annotations or output schema, the description carries the full burden of behavioral disclosure. It reveals that multiple inputs are batched and the output is a set of candidates, but it does not explain how invalid links are handled, how search strings are interpreted, whether candidates are deduplicated or ranked, or what data each candidate contains.

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; every word contributes meaning. It is appropriately brief, though it leaves room for more behavioral and parameter detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations or output schema and one undocumented parameter (`regionCode`), the description is too thin for an agent to know the expected return shape, error behavior, or how to set region-specific options. More detail about resolution behavior is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It clarifies that `links` can be YouTube or YouTube Music URLs and search terms, but it never mentions the optional `regionCode` parameter or its effect on results.

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 ('Resolve'), names the resource ('YouTube or YouTube Music links/searches'), and defines the output ('video candidates'). It clearly differs from sibling tools like youtube_search_videos or youtube_identify_track, though it does not explicitly name them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The input scope ('multiple links/searches') implies this is for resolving existing references rather than free-form discovery, but the description gives no explicit when-to-use/when-not-to-use guidance and does not mention alternatives. Usage 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?

With no annotations provided, the description carries the full burden for behavioral disclosure, but it only lists the intended operations. It fails to mention that 'mode' is preview vs apply, that playlists can be created via createIfMissing, the default privacyStatus, or what happens to duplicates.

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 entire description is a single efficient sentence with zero filler or repetition. It front-loads the resource and lays out the action sequence in a natural order.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter tool with no annotations, no output schema, and no per-parameter schema descriptions, this high-level sentence is insufficient to invoke the tool safely or effectively. Important behaviors such as preview mode, rule handling, and playlist creation are completely absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Since schema description coverage is 0%, the description must compensate for 9 parameters, but it only loosely maps 'input' to 'Identify a YouTube song/video', 'dedupe' to 'deduplicate it', and 'playlist'/'category' to 'named or category playlist'. Parameters like mode, rules, prefix, privacyStatus, and createIfMissing remain unexplained.

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 specific resource and a sequence of distinct actions ('Identify a YouTube song/video, classify it, deduplicate it, and add it to a named or category playlist'). This multi-verb structure clearly distinguishes it from sibling tools like youtube_identify_track, youtube_classify_playlist, and youtube_add_to_playlist.

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 explicit guidance on when to use this composite tool versus composing individual sibling calls, nor does it mention mode semantics or conditions like already-identified tracks. Usage context is only implied by the action list, with no 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Search', which weakly implies a read-only operation, but it does not state what is returned, whether results are limited or paginated, or any other observable behavior. Behavioral context is essentially absent.

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 15-word sentence with no filler. The verb, resource, and search criteria are front-loaded, and every word earns its place. This is appropriately concise for a straightforward search 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 tool with no annotations and no output schema, the description should supply more context: what the returned video links look like, what the optional parameters control, and how ordering works. An agent can make a basic call with just `query`, but cannot correctly exploit the optional parameters or anticipate the return shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds meaningful semantics for `query` (song title, artist, or free text), but says nothing about `limit`, `order`, or `regionCode`. Three of the four parameters remain undocumented in both the schema and the description.

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 ('Search') with a clear resource ('YouTube or YouTube Music-compatible video links') and states the accepted search criteria (song title, artist, or free text). It is clear what the tool does, but it does not explicitly differentiate itself from siblings like youtube_resolve_links or youtube_identify_track, though the 'search' verb indirectly sets it apart.

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 input guidance (what to enter as a search), but provides no guidance on when to use this tool versus alternatives such as spotify_search_tracks, youtube_resolve_links, or youtube_identify_track. No conditions, exclusions, or selection criteria are stated.

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