Plex MCP server

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

Annotations already indicate readOnlyHint=false, so the mutation aspect is known. The description adds the specific target of the mutation (the watchlist) and the HTTP endpoint, but does not explain side effects, authorization needs, or what happens when uri is null. It provides some context beyond 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?

The description is short and front-loaded with the core purpose. The endpoint and parameter line are compact, though the 'add or remove' phrase adds confusion rather than value. Overall it is concise and readable.

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 tool with annotations and an output schema, the description is minimally adequate. It identifies the action and parameter but misses usage guidance and contains an ambiguous parameter description. These gaps make it viable but not fully 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. It does clarify that 'uri' is the URI of the item involved, which is meaningful. However, saying 'add or remove' is confusing and contradicts the tool's stated purpose, and it does not clarify the URI format or the effect of the default null value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first line 'Add to Watchlist' states a specific verb and resource, and the endpoint /actions/addToWatchlist reinforces the action. It is distinguishable from the sibling create_actions_remove_from_watchlist. However, the Args line says the URI is for the item 'to add or remove', which introduces ambiguity about whether this tool also removes items.

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 create_actions_remove_from_watchlist or any other alternative. It does not state prerequisites, exclusions, or a preferred context. An agent must 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?

The annotations already signal an idempotent, non-destructive mutation. The description adds the HTTP method and endpoint, but the 'add or remove' phrase conflicts with the remove-only operation and no additional behavior (such as missing-item handling or auth needs) is 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 appropriately short and front-loaded with the operation. There is no filler, though the misleading 'add or remove' phrase is a substantive error even if it does not make the description overly long.

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 itself is simple and the output schema plus annotations cover return values and safety. However, the conflicting parameter wording and lack of guidance for selecting this tool over its add-to-watchlist sibling leave the description incomplete for reliable agent 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?

With 0% schema description coverage, the description carries the full burden of explaining uri. It identifies uri as the item URI, but says 'add or remove' for a removal endpoint and fails to explain optionality, expected URI format, or what null/default means.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening line 'Remove from Watchlist' plus the endpoint POST /actions/removeFromWatchlist clearly states the action and resource. It is distinguishable from the sibling create_actions_add_to_watchlist by the word 'remove', though it does not explicitly reference that sibling. The parameter line's 'add or remove' wording slightly muddies the otherwise clear purpose.

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 create_actions_add_to_watchlist or other watchlist-related tools. The agent must infer usage entirely from the tool name and the one-line summary.

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 indicate a non-read-only, idempotent, non-destructive operation, and the description's 'Register' plus POST aligns with that. It adds a small behavioral hint by directing the agent to consult the GET or /schema endpoint first, but it does not disclose side effects, auth requirements, or response 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 compact and well-structured: action first, then endpoint, then the single argument with guidance. Every line earns its place, though the parameter guidance is necessarily brief.

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 presence of an output schema and annotations reduces the burden on the description, and the pointer to GET/schema helps compensate for the opaque body parameter. However, it lacks context about when registration is appropriate and what the device JWK is used for, leaving the agent to infer the tool's role from its name.

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 describes 'body' as the request payload and tells the agent to discover expected fields via the matching GET or /schema endpoint, which is useful but still leaves actual field semantics undisclosed.

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 'Register Device JWK' names a specific action and resource, and the endpoint 'POST /auth/jwk' reinforces the intent. It does not explicitly compare itself to sibling tools, but the JWK resource is distinctive enough for an agent to narrow down among the many create_* 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 description gives no guidance on when to use this tool versus alternatives such as create_auth_token or create_security_token. The only process advice is to read the matching GET or /schema endpoint first, which is about parameter discovery, not tool 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=false and idempotentHint=true, so the description does not need to restate mutation or idempotency. It adds the POST method and points to /schema/GET for field discovery, but it does not disclose authentication requirements, side effects, or what the resulting token is used for. This is minimally adequate given 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 tight and front-loaded: the action and endpoint come first, followed by a short argument note. There is no fluff, though the phrase 'Exchange JWT Token' could be more precise.

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 one-parameter endpoint with an output schema and annotations, the description is mostly sufficient. However, it omits when to use this tool over token-related siblings and leaves the exchange semantics ambiguous. The /schema pointer helps with parameters but does not compensate for missing use-case 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?

The schema provides only a free-form body object with additionalProperties=true and no field documentation, so the description carries most of the burden. It names body as the request payload and directs the agent to the matching GET or /schema endpoint to learn the expected fields, but it does not define actual field names, types, or formats.

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 endpoint and action ('Exchange JWT Token', POST /auth/token), so an agent can tell it deals with token creation/exchange. However, it does not clarify what is exchanged for what, and it does not differentiate it from siblings like create_security_token or create_auth_jwk.

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 this tool versus alternatives such as create_security_token or create_users_signin. The only instruction is to read the matching GET or /schema endpoint first, which is about payload discovery rather than 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 indicate this is a mutating, idempotent, non-destructive operation. The description adds the scope 'all' and the HTTP endpoint, but gives no additional behavioral context such as side effects, task scheduling behavior, or requirements. It does not contradict 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 extremely short and front-loaded: 'Start all Butler tasks.' states the action immediately, and the endpoint line adds a minor implementation detail without 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 zero-parameter tool with rich annotations and an output schema, this is minimally viable. However, it lacks any usage distinction among the closely related butler siblings and gives no detail on what 'starting all tasks' entails, leaving some ambiguity for an agent selecting among similar 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 and the schema covers 100% of them, so there is nothing for the description to document. The baseline for a no-parameter tool is 4.

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 ('Start') and a specific resource ('all Butler tasks'), and the word 'all' clearly distinguishes this from the sibling create_butler_by_butler_task, which targets a single task. Even without naming alternatives, an agent can tell what this tool does.

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 choose this tool over alternatives such as create_butler_by_butler_task or list_butler. The description implies a general trigger action but does not state exclusions, prerequisites, or conditions favoring one sibling over another.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds the HTTP method and endpoint, which implies a state-changing operation but is consistent with annotations. It doesn't disclose side effects, required permissions, or what happens on success/failure, but the annotations cover the basic safety profile. No 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 very short and front-loads the core action. The endpoint line is useful. However, the 'Args' section is redundant with the schema and could be removed or expanded. Overall, it's concise and structured acceptably.

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 one parameter, no output schema details, and minimal annotations, the description is incomplete. It doesn't explain what a Butler task is, how to discover valid task names, what the response contains, or any side effects. The sibling list includes create_butler and list_butler, but the description doesn't help an agent choose among 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 description coverage is 0%, so the description must compensate. It only says 'butler_task: The task name', which adds minimal meaning beyond the schema's type/title. It doesn't explain what a valid task name looks like, where to find available tasks, or any format constraints. This is a significant gap for a single-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 states a specific verb ('Start') and resource ('a single Butler task'), and includes the HTTP endpoint POST /butler/{butlerTask}. It clearly identifies the action and resource, though it doesn't explicitly differentiate from the sibling create_butler or list_butler. The name itself is somewhat redundant, but the description adds enough 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?

The description provides no guidance on when to use this tool versus alternatives like create_butler or list_butler. It doesn't mention prerequisites, context, or exclusions. The only usage hint is the endpoint and the parameter, which is minimal.

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 indicate this is a non-read-only, idempotent, non-destructive action. The description adds only the endpoint and the fact that it is a manual trigger, without explaining side effects, whether an active transcode session is affected, or what a fallback actually changes. Useful behavioral context is missing.

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 concise and front-loaded with the action, then provides the endpoint and argument. No unnecessary words are present, though the brevity comes at the cost of completeness.

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 an action that manually triggers a transcoder fallback, the description omits practical context such as when to call it, what transcode_type values are accepted, and what the operation does to existing transcodes. The presence of an output schema does not compensate for this missing operational guidance.

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 parameter has no schema description and schema coverage is 0%. The description merely labels transcode_type as a path parameter, which restates structural information already visible in the endpoint template. It does not explain valid values, format, or semantics beyond the parameter name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Manually trigger a transcoder fallback.' The endpoint and tool name reinforce this. It does not explicitly contrast with sibling transcode tools, but 'fallback' is distinct enough for basic recognition.

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 a fallback should be triggered, what conditions warrant it, or how it differs from related tools like get_by_transcode_type_transcode_universal_decision or start_extension. The agent must infer usage entirely from the tool name.

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 indicate readOnlyHint=false and idempotentHint=true, so the mutation aspect is already covered. The description adds no behavioral context beyond the endpoint, such as whether the queue is created empty, what side effects occur, or whether authentication is required.

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 extremely short and front-loaded: the purpose appears first, followed by the endpoint. No filler is present, though the endpoint line could arguably be merged with the first line.

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 the tool has no parameters and an output schema exists, the minimal description is workable for invoking the operation. However, it provides no context about what a download queue is or how this creation relates to the many sibling queue-management tools, 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 tool takes zero parameters, and schema description coverage is 100%. There is nothing for the description to add about parameter meaning; the baseline of 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action and resource: 'Create download queue.' The explicit POST /downloadQueue endpoint adds concrete routing information. However, it does not distinguish this from sibling tools like create_download_queue_by_queue_id_add, which are also creation-related.

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 this tool versus the many download-queue-related siblings. No prerequisites, use-case context, or exclusions are provided; the description simply states the action and endpoint.

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 convey that this is a write operation (readOnlyHint=false), idempotent (idempotentHint=true), and non-destructive (destructiveHint=false). The description adds only the endpoint and the generic action, without extra behavioral context such as duplicate handling, required permissions, or effects on existing queue items. It does not contradict 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 compact, front-loaded with the main purpose, and organized into endpoint and args sections. Every line is short, though the arg descriptions could be slightly more substantive without bloating the text.

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 only two parameters and existing annotations, the tool is simple, but the meaning of 'keys' is critically underspecified. The presence of an output schema reduces the need to describe return values, but the description still lacks enough detail about valid inputs and operational context 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?

Schema description coverage is 0%, so the description must compensate for the schema's silence. It names queue_id and keys with terse glosses ('The queue id', 'Keys to add'), but it never explains what a queue id refers to or what format/values keys should take. This is insufficient for an agent to construct a valid request.

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 ('Add to download queue') and exposes the endpoint POST /downloadQueue/{queueId}/add, making the operation clear. It is distinguishable from the sibling create_download_queue by the verb 'add' versus 'create', though it does not explicitly call out that difference.

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 about when to use this tool instead of alternatives such as create_download_queue or the download-queue item deletion/restart tools. There is no mention of prerequisites like an existing queue or what kinds of keys are valid.

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=false, idempotentHint=true, destructiveHint=false), so the description only needs to add operational context. It does add that the tool restarts 'processing' tied to 'the decision,' but it does not explain side effects, prerequisites, or whether existing progress is reset. 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 minimal and front-loaded: a one-line purpose, the endpoint, and the parameter definitions. Every sentence earns its place, with no redundant prose 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?

For a mutating restart action, the description is too sparse. It does not explain what 'the decision' refers to, when restarting is appropriate, or how the array-valued item_id affects processing. An output schema exists, so return values need not be described, but the missing operational context leaves an agent uncertain about 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?

Schema description coverage is 0%, so the description carries the burden, but it only restates the parameter names: 'queue_id: The queue id' and 'item_id: The item ids.' These add no real constraints, formats, or relationships beyond what the schema already shows. The plural 'ids' mirrors the array type without adding meaning.

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 ('Restart processing of items') and identifies the resource through the endpoint path (downloadQueue/{queueId}/items/{itemId}/restart). However, 'from the decision' is ambiguous, and it does not explicitly distinguish this from related download-queue tools, so it does not earn 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?

There is no guidance on when to use this tool versus siblings such as create_download_queue_by_queue_id_add, get_download_queue_by_queue_id_items, or delete_download_queue_by_queue_id_items_by_item_id. No alternatives, exclusions, or conditions are mentioned; the only clue is the operation name.

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 convey that this writes, is idempotent, and is non-destructive, so the description's burden is moderate, but it adds nothing beyond the endpoint. It does not disclose side effects (e.g., impact on the home-screen listing), authentication requirements, or what 'creating a home user' entails beyond the annotation-covered safety profile.

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 extremely short and front-loaded, with no wasted words. However, the brevity reflects under-specification rather than efficient coverage of meaningful content, so it cannot earn full marks.

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?

Complexity is low: zero parameters, an output schema, and annotations cover safety and return values. The remaining gap is semantic — the description never explains what a 'home user' is or what creation accomplishes, leaving the agent to infer the domain 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?

The schema has zero parameters with 100% coverage, so there is nothing for the description to document. Per the 0-parameter baseline, the description is not penalized; the endpoint reference adds minor context about how the call is made.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource — 'Create Home User' — and confirms the operation with the endpoint 'POST /home/users'. It is clear about what it does, though it does not differentiate from the sibling create_home_users_by_id_switch or other home-user 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 guidance is given on when to use this tool versus alternatives such as create_home_users_by_id_switch, update_home_users_by_user_id, or list_home_users. There is no mention of prerequisites, context in which creation is appropriate, 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=false, idempotentHint=true, and destructiveHint=false. The description adds nothing beyond the bare 'Switch Home User' phrase and the HTTP endpoint, so it does not meaningfully explain side effects, session changes, or other behavioral implications beyond what annotations already convey.

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 extremely short and front-loads the core action, with the endpoint and argument list following immediately. It contains no filler, though the brevity comes at the cost of semantic depth.

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 tool with annotations and an output schema present, the description provides enough to make a basic call: the verb, resource, endpoint, and required id. However, it leaves usage context and behavioral nuance unstated, so it is only minimally 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 the sole parameter 'id'. However, it only says 'The unique identifier of the item', which is nearly as generic as the schema and does not clarify that the id refers to a Home User or explain how the id should be obtained.

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 and resource: 'Switch Home User' plus the endpoint 'POST /home/users/{id}/switch'. This is clear enough to distinguish it from sibling tools like update_home_users_by_user_id, but it does not explicitly contrast itself with those 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?

There is no guidance about when to use this tool versus the many related home-user tools such as create_home_users, update_home_users_by_user_id, or delete_home_users_by_user_id. The description only restates the action and endpoint, leaving all usage decisions to the agent.

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 say readOnlyHint=false and idempotentHint=true, which tell the agent this is a (possibly re-runnable) write. But the description adds no behavioral context beyond that: no side effects, no requirement that metadata_item_id must currently be a collection is emphasized as a precondition, no error/conflict behavior, and no explanation of what 'displayed in recommended/own home/shared home' actually changes.

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 short, but not necessarily well-structured: it opens by restating the endpoint path (already in the tool name) and then lists parameters that are also in the schema. No key semantic clarification is front-loaded; the single most useful constraint (metadata_item_id must be a collection) is buried in a parameter gloss.

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, so return-value documentation is less critical, but for a mutating create operation with 5 parameters and 0% schema coverage, the description should define what a 'custom hub' is, how it relates to section and metadata item, and what the promotion flags do. It leaves the core semantics unexplained and relies on the reader to infer from a URL-shaped name.

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, and it does list all parameters with brief glosses. However, the glosses are thin and partly confusing: section_id is 'for the hubs to reorder' on a create operation, and no format or relationship details are provided for the promotion flags. It adds more than the bare schema but not enough to fully compensate.

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 'Create a custom hub,' which names a verb and a resource, but it does not distinguish this tool from the many related hub-management siblings such as get_hubs_sections_by_section_id_manage, update_hubs_sections_by_section_id_manage_by_identifier, and delete_hubs_sections_by_section_id_manage. The phrase 'custom hub' and the 'manage' endpoint context are left undefined.

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 this tool versus alternatives, no prerequisites (e.g., that metadata_item_id must be a collection is mentioned but not framed as a requirement), and no exclusions. An agent selecting among the many create_/update_/delete_ hubs_ siblings 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 indicate a write operation (readOnlyHint false), idempotent (idempotentHint true), and non-destructive (destructiveHint false). The description adds context by noting the URI is for smart collections, implying behavior about collection type, but does not disclose what happens on success, failure, or side effects. Since annotations cover the safety profile, the description adds some value but lacks 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?

The description is concise and well-structured, leading with the purpose and then listing parameters with explanations. The inclusion of the HTTP method and endpoint is useful. It is front-loaded and efficient, with no filler content.

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

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

Given that the tool has an output schema (not shown), the description does not need to explain return values. However, it lacks context about what a 'collection' is, prerequisites like authentication, or the relationship between section_id and uri. It also does not clarify whether section_id is always required (schema says optional). The description covers the basic parameters but is incomplete for a creation tool with multiple variants (smart vs. regular collections).

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

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

Schema coverage is 0%, so the description must compensate. It does so effectively: section_id is described as 'The section where this collection will be created', and uri is described as 'The URI for processing the smart collection. Required for a smart collection', clarifying its purpose and conditional necessity. This goes beyond the bare parameter names and adds meaningful 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 states a clear verb and resource: 'Create collection' with the specific endpoint POST /library/collections. It is unambiguous about the operation, though it could better distinguish from other collection-related tools (e.g., update/delete). The resource is explicit enough for an agent to identify the action.

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 minimal guidance on when to use this tool versus alternatives. It does not mention that this is for creating new collections, while update and delete tools handle modifications and removals. The only hint is the mention of 'smart collection' for the uri parameter, which is more about parameter usage than overall tool selection. No exclusions or conditions for using this tool are given.

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 provide readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds some context by calling the item 'transient' and explaining hash computation and non-match storage, but it does not clarify what 'transient' means or what the actual side effects are beyond ingestion.

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 short, front-loaded with the main action and endpoint, and the Args list is dense and useful. It loses a point for minor grammar issues and because 'POST /library/file' repeats information that the endpoint-oriented name already suggests, though it still earns its place.

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

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

With no required parameters and an output schema present, the description does not need to document return values. However, it leaves 'transient item' undefined and does not explain how this operation relates to other library file ingestion workflows, which is a meaningful gap 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?

Schema description coverage is 0%, so the description carries the full burden, and it does describe all four parameters with defaults. The url line is garbled ('The file of the file to ingest'), but virtual_file_path, compute_hashes, and ingest_non_matches are meaningfully explained beyond 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 states a specific verb+resource ('Ingest a transient item') and gives the concrete endpoint POST /library/file, which differentiates it from library siblings like create_library_collections or create_library_metadata_by_ids. However, the phrase 'transient item' is jargon and not fully explained, so it stops 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?

There is no guidance on when to use this tool versus alternative library creation/ingestion tools. It does not name any sibling or state exclusions, so an agent must infer appropriateness from the endpoint and parameter names 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 declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, and the description does not contradict them — 'Upload' is consistent with a write operation. The description adds the useful context that the body schema is open-world and must be discovered via the GET or /schema endpoint. It does not, however, disclose what happens to existing art, whether the upload replaces or appends, or what content formats are accepted.

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 compact and well-ordered: one-line purpose, endpoint path, then a two-line args list. Nothing is wasted. The awkward 'media art Art' phrasing is a blemish, but structurally it is front-loaded and appropriately sized for a two-parameter 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 two-parameter tool with an output schema and safety annotations, the critical gap is the open-world body parameter, which the description addresses by pointing the agent to the GET/schema endpoints. The remaining gaps — what 'art' means versus posters, whether existing art is replaced, and what the response represents — are not covered, and these matter given the large set of library metadata siblings.

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 carries the burden of explaining parameters. It explains id as 'the unique identifier of the item' and, more valuably, tells the agent how to discover the body structure since the schema defines body as an unconstrained additionalProperties:true object. The id explanation is somewhat vague ('the item' is not clearly identified), so compensation for the 0% coverage is only partial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource — 'Upload media art' for a library metadata item identified by id. This is clear enough for an agent to know the operation performs an upload of artwork. However, the phrasing is garbled ('media art Art') and it does not distinguish this from the close sibling create_library_metadata_by_id_posters, so it misses the differentiator bar.

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 such as create_library_metadata_by_id_posters or create_library_metadata_by_ids_by_element. The advice to 'Read the matching GET or the /schema endpoint first' is a field-discovery instruction, not a tool-selection guideline. There are no exclusions, prerequisites, or alternative routing 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 mark the operation as non-read-only, idempotent, and non-destructive, and the description reinforces the write nature with 'Upload.' It adds only the procedural hint to consult GET/schema first, but says nothing about whether an existing poster is replaced, what payload format is expected, or what response to expect. 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 brief, front-loaded with the core purpose, and avoids fluff. The endpoint and args lines are somewhat redundant with the tool name and schema, but the overall size is appropriate and easy to scan.

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

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

For a two-parameter create call with an output schema, the description gives the essential operation and tells the agent how to discover the body contract. It is incomplete regarding poster-versus-art selection, expected payload format, whether a URL or binary file is required, and any permission constraints.

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 `id` parameter gets a generic but acceptable gloss, and `body` is described only as a request payload with a pointer to GET/schema for its fields. With schema description coverage at 0%, this is helpful for discovery but does not specify the actual structure, media encoding, or upload 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 starts with 'Upload media art Poster,' a specific verb and resource, and the endpoint path clarifies the target object. It does not differentiate from the closely named sibling create_library_metadata_by_id_arts, so it stops short of full sibling distinction.

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

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

The description clearly implies the tool is used to upload a poster for a library item, and it advises reading the matching GET or /schema endpoint before constructing the body. However, it does not explicitly state when to prefer this over the arts sibling or exclude alternatives, leaving much of that decision to the tool name.

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 this is a writable, idempotent, non-destructive operation. The description adds valuable behavior by explaining that if no URL is provided, the asset binary must be sent in the POST body, and it clarifies that `element` represents an artwork type.

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 short and front-loaded with the purpose, then uses an Args block to add parameter semantics efficiently. The endpoint line is somewhat redundant with the tool name, but there is no filler or unnecessary 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?

For a three-parameter write endpoint with an output schema and annotations already covering idempotency/safety, the description covers the route, all parameter meanings, and the critical URL-or-binary-body behavior. It does not define the exact binary format or effects on existing artwork, but the essential calling context is present.

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 carries the full burden for parameters. It documents all three: `ids` as comma-separated, `element` with concrete examples, and `url` as optional with a precise binary-body fallback. Valid values for `element` remain open-ended.

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 ('Set an item's artwork, theme') and identifies the target resource via the route and name. It is clear but does not explicitly differentiate this from sibling tools that also manipulate library artwork/metadata, so it stops 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?

There is no when-to-use guidance, exclusions, or mention of alternatives. The endpoint and argument list imply usage, but the agent is not told when to choose this tool over the many sibling library metadata tools such as update_library_metadata_by_ids_by_element.

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 only says 'Add to an item's extras' and lists args. It doesn't explain whether extras are appended or overwritten, what the effect of repeated calls is (though idempotentHint is present), or any auth/rate-limit context. Annotations cover idempotency and non-destructiveness, but the description adds no extra 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 extremely concise: a one-line summary, an endpoint line, and a list of args. No fluff, and the main verb is front-loaded. However, its brevity borders on under-specification, so it's not perfect.

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 and annotations, so return values and safety profile are covered. But given the tool's mutating nature and the need to distinguish extras from other metadata types, the description lacks essential context about what 'extras' are, valid extra_type values, and when to call this. Minimal completeness.

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 provides one-line explanations for each parameter, clarifying that ids are comma-separated, extra_type is a metadata type, and url is the URL. However, it doesn't explain possible values for extra_type or the role of url in the request. With 0% schema description coverage, this is better than nothing but still incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Add to an item's extras' which is a clear verb and resource. However, it doesn't differentiate from sibling tools like create_library_metadata_by_ids_marker or create_library_metadata_by_id_arts; the name itself does most of the 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 on when to use this tool instead of alternative create operations for library metadata. No mention of alternatives, prerequisites, or scenarios. Only a bare description of the operation.

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 convey readOnly=false, destructive=false, and idempotentHint=true. The description adds a small behavioral cue by describing type as 'the type of marker to edit/create', suggesting the operation may create or update a marker, but it does not clarify overwrite behavior, permissions, or other side effects.

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

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

The definition is compact and front-loaded with the action, followed by the endpoint and parameter list. There is no filler, although the endpoint line duplicates information in the tool name and the args list overlaps with the schema.

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

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

For a tool that creates markers with time offsets and attributes, the description omits what a marker actually is, when creating is preferable to updating, and how time offsets should be expressed. The output schema exists, but input/selection context and parameter constraints remain underspecified.

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 define the parameters, but its definitions are mostly tautological. 'start_time_offset' is only described as 'the start time of the marker' without units, offset basis, or allowed values; 'attributes' gives no structure; 'type' does not enumerate valid values.

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 'Create a marker' and gives the POST endpoint, clearly identifying the action (create) and resource (library metadata marker). It is distinct from siblings like update_library_metadata_by_ids_marker_by_marker and delete_library_metadata_by_ids_marker_by_marker through the verb, though it does not explicitly call out that distinction.

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

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

No guidance is provided on when to choose this tool over the update or delete marker siblings. It does not state prerequisites, whether markers must already exist, or when creating vs editing is appropriate. Usage must be inferred from the tool 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?

Annotations already indicate this is non-read-only, idempotent, and non-destructive, and the description adds only the HTTP method and path without any behavioral context. It does not explain side effects, prerequisites, or what the optimization does to library data, so the description contributes little beyond what the annotations 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 under-specified sentence that does not earn its place, rather than being effectively concise. It provides the endpoint but omits essential context, making it closer to a placeholder than a well-structured tool 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?

Even though the tool has no parameters and an output schema exists, the description leaves out what optimization is, who should call it, and how it relates to the many similar siblings. An agent would be hard-pressed to safely or correctly invoke this based on the description alone.

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

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

The input schema has zero parameters)Skip, so there is nothing for the description to explain. The baseline for a 0-parameter tool is 4, and the description, while terse, does not need to clarify any argument 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 is just 'Optimize Library.' which is a verb+resource but essentially repeats the tool name without any elaboration. It does not explain what optimizing entails or how this action differs from sibling tools like create_library_sections_by_section_id_optimize or get_library_sections_by_section_id_optimize, leaving the agent to infer meaning from the endpoint path alone.

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 zero guidance on when to invoke this tool versus the many sibling tools containing 'optimize' or related library operations. No context, exclusions, or conditions are provided, so an agent has no basis for choosing this over 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?

Annotations already indicate that this is a non-read-only, idempotent, non-destructive operation. The description adds no behavioral context beyond that: no mention of required permissions, side effects, failure behavior, or implications of creating a section. It does not contradict 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 front-loaded with a one-sentence summary followed by a compact args list. It avoids filler, and the arg list earns its length because the schema provides no descriptions. Minor formatting and typo issues such as import_fromi_tunes keep it from being perfect.

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 complex creation tool with ten parameters, no schema descriptions, and no enums. The shallow parameter labels are insufficient for reliably constructing a valid call: requiredness is unclear despite the schema marking everything optional, and there is no guidance on valid type values or how to obtain scanner/agent/group identifiers. The output schema covers return values but not the missing input 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?

The schema has zero descriptions, so the description's args list adds meaningful plain-language meaning for all ten parameters, including non-obvious ones like relative and import_fromi_tunes. However, it still leaves value domains unresolved—integer type codes, scanner/agent identifiers, and the prefs object shape are not explained.

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 a clear, specific statement—'Add a library section'—and gives the endpoint. It accurately conveys the verb and resource, but it does not explicitly distinguish this tool from sibling section-management tools like create_library_sections_refresh or update_library_sections_by_section_id.

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 this tool versus alternatives, no preconditions, and no exclusions. The wording only implies use when a section needs to be created, but does not help an agent decide between this and related create/update/delete section operations.

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 indicate readOnlyHint=false and idempotentHint=true, and the description adds the HTTP method and endpoint. However, it does not disclose side effects, what gets removed, permission requirements, or reversibility. It does not contradict the annotations but adds little behavioral context beyond them.

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 minimal: a two-word action, the endpoint, and one arg line. It is front-loaded and avoids filler, though it may be slightly too terse to fully convey necessary context.

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 includes the HTTP method, endpoint, and parameter, which is enough to invoke the tool. It omits when to use it relative to the get/update empty_trash siblings and any behavioral consequences. Since an output schema exists, return value explanation is not required, but the lack of usage guidance prevents a higher score.

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 explains section_id as 'the unique identifier of the library section,' adding meaningful context beyond the schema's 'Section Id.' No format or examples are given, but this is sufficient for a simple integer ID.

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 'Empty Trash.', which clearly states the action and target. However, it does not distinguish itself from sibling tools like get_library_sections_by_section_id_empty_trash or update_library_sections_by_section_id_empty_trash, so it lacks 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 the get_ or update_ empty_trash siblings. The description only provides the endpoint and parameter, with no contextual usage conditions 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?

The description does not disclose any behavioral traits beyond what the annotations already provide. It does not contradict the annotations, but it also gives no context about side effects, whether the operation is asynchronous, or what changes to expect, leaving the agent without important behavioral knowledge.

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 extremely short and front-loads the action and parameter documentation. It avoids unnecessary words, but the brevity leaves out essential context that would make it more helpful.

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 ambiguity of 'optimize' and the presence of sibling tools like get_library_sections_by_section_id_optimize, the description is incomplete. It fails to explain the operation's purpose, expected effects, or how it relates to related endpoints, so an agent would lack sufficient context to confidently invoke it.

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

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

With schema description coverage at 0%, the description partially compensates by explaining section_id as 'the unique identifier of the library section'. This adds meaningful role context that the schema does not provide, though it could be more detailed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Optimize Section') and includes the endpoint, but it does not explain what optimizing a library section actually does. This is more than a pure tautology because the HTTP path adds context, yet it remains vague and does not sufficiently distinguish this from sibling operations like refresh or analyze.

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

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

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, expected outcomes, or when a refresh or analysis would be more appropriate than an optimize 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 carry the idempotentHint and destructiveHint flags, so the safety profile is known. The description adds that force controls whether metadata/items update regardless of modification dates and that path restricts the refresh, which is useful behavioral context. However, it does not disclose whether the operation is synchronous or asynchronous, nor any potential performance or side-effect 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?

The description is concise and front-loaded with the action 'Refresh Section', followed by the endpoint and parameter list. There is no unnecessary filler, though the HTTP method and path line is somewhat redundant given the tool name already encodes the route. Overall it is tight and organized.

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?

Although an output schema exists, which reduces the need to document return values, the description still lacks important context for an agent: when to choose this refresh tool over sibling refresh endpoints and whether the operation completes immediately or runs in the background. These gaps prevent it from being fully complete for a mutation tool.

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

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

With schema description coverage at 0%, the Args section in the description is the only source of parameter meaning. It explains all three parameters: section_id, force, and path. While section_id's explanation is minimal, force and path have substantive descriptions, giving the description enough compensation for the missing schema documentation.

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 'Refresh Section' followed by the HTTP endpoint, clearly indicating that this tool triggers a refresh of a library section. This is a specific verb plus resource. However, it does not differentiate itself from sibling refresh tools like create_library_sections_refresh or delete_library_sections_by_section_id_refresh, 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 description provides no guidance on when to use this tool versus alternatives. There is no mention of when a refresh is needed, how it should be preferred over other refresh endpoints, or any exclusions. It only implies the action without contextual usage direction.

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 idempotentHint=true, destructiveHint=false, and readOnlyHint=false, and the description does not contradict them. The description adds modest value by explaining the force parameter ('Force refresh of metadata') and giving the exact HTTP route. It does not, however, disclose behavioral traits such as what refreshing all sections entails (e.g., triggering a library scan, potential duration/resource load) or side effects consistent with openWorldHint=true.

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 compact (five short lines) and front-loads the purpose before the endpoint and args. Every line serves a function: purpose, HTTP route, and parameter meaning. The 'Args:' header is mild boilerplate, and the brevity edges toward under-specification, but the structure is clean and readable.

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-optional-parameter tool with an output schema and annotations, the description is nearly sufficient: purpose, route, and parameter meaning are present. What is missing is the operational context — what a full-section refresh triggers, when force is necessary, whether the call is expensive or asynchronous, and any side effects given the openWorldHint. These gaps keep it at minimum viable.

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 carries the full burden of explaining the lone parameter. It provides only 'force: Force refresh of metadata', which names the effect without clarifying the default/null behavior, the difference in behavior when force is false vs absent, or when an agent should set it to true. This is minimal compensation for a completely undocumented 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 states a specific verb ('refresh') and resource ('all sections'), and the scope word 'all' implicitly differentiates it from siblings like create_library_sections_by_section_id_refresh, which target a single section. The endpoint POST /library/sections/refresh reinforces this. However, it never names or references the per-section alternative, so the differentiation is implicit rather than 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?

No guidance is given on when to use this tool versus its many refresh-related siblings (create_library_sections_by_section_id_refresh, delete_library_sections_all_refresh, get_library_sections_by_section_id_refresh, update_library_metadata_by_ids_refresh). The only usage signal is the word 'all' in the one-line purpose, which is implied rather than stated. There are no exclusions, prerequisites, or selection criteria.

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 convey that this is a non-read-only, non-destructive, idempotent creation operation, but the description adds no behavioral details beyond that. It does not mention side effects, required context such as an existing lineup/device, or any caveats around the optional parameters.

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 structure is clean and front-loaded with 'Create a DVR,' followed by an endpoint and a simple Args list. However, the parameter lines add almost no informational value, so the entry is concise partly because it is under-specified rather than because every line 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 creation operation with three undocumented optional parameters, the description leaves too much unknown: what values are valid, where those values come from, and what creating a DVR actually does. The output schema may describe the response, but it does not help an agent construct the request.

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 'lineup: The EPG lineup,' 'device: The device,' and 'language: The language' are near-tautological restatements of the property names. It omits value formats, how to obtain valid lineups/devices, language code conventions, and the expected shape of the device array.

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 'Create a DVR,' a specific verb and resource, and the endpoint 'POST /livetv/dvrs' confirms the target. It is distinguishable from the update/delete/list DVR siblings, though it never explains what a DVR represents or why someone would create 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?

There is no guidance on when to use this tool versus update_livetv_dvrs_by_dvr_id, delete_livetv_dvrs_by_dvr_id, or list_livetv_dvrs. No prerequisites or context are provided, so the only implied usage is that the agent already wants to create a DVR.

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 indicate this is a non-read-only, non-destructive, idempotent mutation. The description adds no further behavioral details: it does not mention side effects like starting a live session, requiring an active DVR, or state changes beyond tuning. It repeats the HTTP method and path, which is schema-level information, not new behavioral context.

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

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

The description is compact: a one-sentence purpose, the HTTP endpoint, and a short Args list. The front-loaded purpose is effective, and there is no fluff. The Args section is slightly redundant with the schema but adds required semantic clarification, so it 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 that an output schema exists, return values are covered, but the description lacks essential operational context: it does not specify what happens after tuning (e.g., a session is created), whether the DVR must be online, or what errors might occur. For a live TV action with mutation semantics, this is a notable 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 description must compensate. It provides one-line meanings for both parameters: 'The ID of the DVR' and 'The channel ID to tune'. This adds minimal value beyond the schema titles but is sufficient for the agent to understand what each parameter refers to, though it lacks detail on formats or where to obtain valid IDs.

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 'Tune a channel on a DVR' with a clear verb-resource pair. It distinguishes this from all sibling tools because no other tool mentions tuning, and it is unambiguous about the operation performed.

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. There is no mention of prerequisites (e.g., DVR must exist, channel must be active), when not to use it, or how it relates to operations like get_livetv_dvrs_by_dvr_id_channels or create_livetv_dvrs. The usage context is only implied by the verb 'tune'.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the intent of causing a guide reload but does not disclose side effects like cache invalidation, potential latency, or whether the DVR must be online. It offers minimal behavioral context beyond the annotations, so a 3 is appropriate.

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

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

Three short lines convey the action, the endpoint, and the argument. The primary purpose is front-loaded in the first sentence, and there is no filler or redundant explanation. Every sentence earns its place.

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

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

For a single-parameter command with an output schema and useful annotations, the core action and argument are documented. However, it lacks usage guidance and operational context (e.g., what happens after the reload is triggered, whether it blocks). It is minimally viable but leaves gaps an agent might need filled for correct invocation in 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 0%, so the description carries responsibility for parameter meaning. It states 'dvr_id: The ID of the DVR,' which clarifies the purpose of the only parameter. However, it adds little beyond the schema's title 'Dvr Id' and does not explain how to obtain a valid DVR ID or whether it corresponds to list_livetv_dvrs output. Basic but adequate for a simple integer identifier.

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 a clear verb+resource statement: 'Tell a DVR to reload program guide.' It names the specific action and resource, and the embedded POST endpoint reinforces the operation. It does not explicitly contrast with siblings like delete_livetv_dvrs_by_dvr_id_reload_guide, but the purpose 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 provides no guidance on when to invoke this tool versus related DVR tools, such as get_livetv_dvrs_by_dvr_id_guide, delete_livetv_dvrs_by_dvr_id_reload_guide, or update_livetv_dvrs_by_dvr_id. There are no prerequisites, no mention of how frequently a reload should be triggered, and no exclusions. The agent is left to infer usage entirely from the action name.

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 convey the safety profile (readOnly false, idempotent true, destructive false), and the description adds that this operation targets the Plex Media Server log and accepts multi-line content. It does not cover response handling, authentication, or side effects, but given annotation coverage this is an acceptable 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?

The description is short and front-loaded: the first sentence states the purpose, followed by the endpoint and a compact parameter note. Every line adds useful information, and there is no filler or redundant wording.

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 one open-world body parameter, existing output schema, and comprehensive safety annotations, the description is mostly sufficient. It explains the action, names the endpoint, and directs the agent to the right place to discover body fields. It is slightly thin regarding choice between this and the closely related create_log_networked and update_log tools, but the core invocation path is covered.

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

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

The only parameter, body, is an opaque object with additionalProperties true, and schema description coverage is 0%. The description labels it 'Request payload' and tells the agent to look at the /schema endpoint, but it provides no concrete meaning for the body structure or fields. This leaves the agent dependent on external discovery rather than the tool definition itself.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence states a specific action (logging a multi-line message) and a specific target (the Plex Media Server log), which clearly communicates what the tool does. It does not explicitly compare against closely related siblings like update_log or create_log_networked, so it stops short of 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?

The use case is unambiguous: posting a log message to the Plex server. It also gives a clear prerequisite by telling the agent to read the matching GET or /schema endpoint before supplying the body, which is practical guidance. It does not mention alternatives or when-not conditions, but the context is clear enough.

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 mutation, destructiveness, idempotence, and open-world hints. The description adds that logs are sent to Papertrail and that the minutes parameter controls the duration. However, it does not clarify what happens when minutes is null, whether this replaces existing log destinations, or what the endpoint returns.

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

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

The description is very short, front-loads the purpose, and includes only the endpoint and the parameter explanation. There is no filler, though the phrase 'Enabling Papertrail' is a somewhat awkward fragment.

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 with one optional parameter and an output schema, and annotations cover several behavioral aspects. However, the description leaves the default/null behavior of minutes ambiguous and provides no usage context or alternative routing, making it minimally adequate rather than 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 coverage is 0%, so the description carries the burden of explaining the one parameter. It explains minutes as 'the number of minutes logging should be sent to Papertrail,' which gives the parameter clear duration semantics beyond the bare schema. It falls short of describing valid ranges or the meaning of null/default.

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 'Enabling Papertrail' and identifies the endpoint POST /log/networked, making the core action clear. It does not explicitly differentiate itself from create_log or update_log by name, but the Papertrail reference provides a distinguishing signal.

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 explicit guidance about when to use this tool versus create_log, update_log, or other logging tools. The only implied usage is 'when Papertrail logging is desired,' but there are no alternatives, prerequisites, or exclusions 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 no behavioral context beyond the act of adding, such as idempotency implications, response behavior, or side effects. Annotations already state readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so there is no contradiction, but the description contributes nothing about what happens when a device with a duplicate or invalid URI is provided.

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 extremely compact: a one-line purpose, the endpoint, and a single parameter. Every element is useful and no filler is present, making it easy to scan.

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?

Although the operation is simple and an output schema exists, the description leaves a key ambiguity: the URI parameter is nullable and not required, yet no guidance explains when a null/omitted URI is acceptable. It also does not explain how this relates to sibling discovery/scan tools, so an agent may not know the correct context for creating a media grabber device.

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 carry parameter meaning, and it does state 'uri: The URI of the device.' This is minimal and largely mirrors the parameter name, but for a single simple parameter it is adequate; it does not clarify URI format, validity, or why the parameter has a null default.

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?

Description uses a specific verb ('Add') and resource ('a device'), and includes the endpoint POST /media/grabbers/devices, clearly identifying it as the create-device operation. It differentiates from sibling operations like update_media_grabbers_devices_by_device_id and delete_media_grabbers_devices_by_device_id, though it does not 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 is given about when to use this tool versus the many related siblings (e.g., list_media_grabbers_devices_discover, create_media_grabbers_devices_by_device_id_scan, update_media_grabbers_devices_by_device_id). 'Add a device' implies a basic registration scenario but does not mention prerequisites, 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 signal that this operation mutates state, is idempotent, and is not destructive. The description adds the channel-scan action but does not explain whether the scan is asynchronous, how long it may run, or what side effects occur on the device. This is acceptable given the annotations, but it lacks additional behavioral nuance.

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 short and front-loads the action before the argument list, with no filler. The endpoint line is somewhat redundant with the name, but it does not hurt clarity. Overall it is concise and readable, though sparse.

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

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

The core action is clear, and the output schema covers return values, but the source parameter is critically underspecified. An agent would not know what values are valid or that it can be omitted, which threatens correct invocation. For a tool with 0% schema description coverage, 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 description must define parameters. device_id is minimally explained, but source is only described as 'a valid source' with no format, allowed values, or origin. The description also fails to note that source is optional despite the schema showing a default of null, making correct invocation uncertain.

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 a specific action and object: 'Tell a device to scan for channels,' which clearly identifies the tool's purpose. The HTTP path reinforces the target resource, and this distinguishes the tool from siblings like creating or updating a device. No explicit sibling contrast is needed because 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?

There is no guidance on when to use this tool versus alternatives such as update_media_grabbers_devices_by_device_id or delete_media_grabbers_devices_by_device_id_scan. The description provides no prerequisites, exclusions, or context for choosing this endpoint, 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?

Annotations already convey that this is a non-read-only, non-destructive, idempotent operation. The description adds the specific behavior that it adds a provider and shows the HTTP method and path, but does not disclose side effects, duplicate handling, authentication needs, or other behavioral details. 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 short and front-loaded with the core action. The endpoint and Args block are useful and not redundant with the schema, adding the HTTP path and parameter meaning without unnecessary prose. It is efficient, though slightly more structured than needed.

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 tool with an output schema and informative annotations, the description covers the essential purpose and parameter. However, it omits context about what a media provider is, prerequisites, duplicate/idempotency behavior, and any caveats. It is adequate but leaves gaps an agent might need to resolve.

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 carry parameter meaning. It does this by explicitly stating that 'url' is 'The URL of the media provider to add.' This adds real semantics beyond the schema's title/type. It does not clarify optionality or URL format constraints, but the schema's default null and zero required parameters cover optionality.

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 'Add a media provider.', a specific verb plus resource that immediately states the tool's function. The endpoint 'POST /media/providers' reinforces this and distinguishes it from sibling tools like list_media_providers, delete_media_providers_by_provider, and create_media_providers_refresh.

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 verb 'Add' implies the tool should be used when the agent wants to create a new media provider, but the description provides no explicit when-to-use or when-not-to-use guidance and does not mention alternatives such as refreshing or listing providers. 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?

Annotations already communicate that the operation is idempotent, non-destructive, and not read-only. The description adds no behavioral context beyond the word 'Refresh' and the endpoint; it does not disclose what happens during refresh, whether background work is triggered, or what state changes occur.

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 extremely concise: a one-line action followed by the exact HTTP route. Every element earns its place, and the primary purpose is 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 zero-parameter POST endpoint with supporting annotations and an output schema, the description is minimally sufficient for invocation. However, it lacks context about what refreshing media providers entails, whether there are external side effects, and how this operation fits among the provider-related sibling 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 input schema has zero parameters, so there are no parameter semantics for the description to add. The 100% schema coverage means no parameter information is missing.

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 'Refresh' and the resource 'media providers', and includes the exact POST endpoint, making the purpose unambiguous. It is distinguishable from sibling provider tools like create_media_providers and list_media_providers, though it does not explicitly contrast 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 is given about when to use this tool versus alternatives such as create_media_providers, list_media_providers, or delete_media_providers_by_provider. There is also no mention of prerequisites, scoping, or when a refresh is appropriate.

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

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

Annotations already indicate the operation is not read-only, is idempotent, and is non-destructive, so the description need not repeat that. It adds behavioral context by noting the playlist exception and the required ratingKey hint for downloads, but it does not detail side effects or post-creation behavior. This is reasonable given annotation coverage.

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 core purpose is front-loaded in the first line, and the argument descriptions follow a clean list. The sub-bullets under 'params' are slightly awkward, but they convey needed detail in a compact way. It is not over-engineered and every sentence 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?

With an output schema available and a domain-normal concept, the description adequately explains how to pass each parameter and the circumstances that modify them. It could state the higher-level purpose of a subscription more explicitly, but it is sufficient for an agent to invoke this tool correctly.

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

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

Schema description coverage is 0%, so the description must document the parameters itself, and it does so for all 6. For instance, target_library_section_id is described as the section into which media will be grabbed and extra notes clarify its necessity, while hints includes the ratingKey requirement. The descriptions of prefs and params are thin, but still offer a meaning plus an example sub-parameter, which is above baseline.

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 it creates a subscription and provides the POST /media/subscriptions endpoint, making the verb, resource, and intent specific. It does not explicitly differentiate itself from the sibling create_media_subscriptions_process, but the name and sentence are enough to distinguish it from update/delete/list 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 description gives no explicit comparison to alternative tools, but it does include useful conditional usage hints: 'Not actually required when the subscription is to a playlist' and the requirement that ratingKey is needed for PMS remote downloads. These imply scenarios in which the tool is appropriate, though they are parameter-level guidance rather than tool-level decision rules.

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 cover the important behavioral traits: not read-only, idempotent, not destructive, and open-world. The description adds the 'all subscriptions' scope and confirms the POST action, but it does not explain what processing entails, such as whether it is asynchronous, what state changes occur, or whether external systems are affected.

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 very short, front-loaded with the purpose, and includes the endpoint without filler or repetition. It is appropriately concise for a zero-parameter endpoint, although the brevity contributes to the ambiguity noted in other dimensions.

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

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

With no parameters and an output schema present, the description has few structural gaps, but it leaves the meaning of 'process all subscriptions' unexplained. An agent cannot tell whether this triggers a background job, processes pending updates, or requires existing subscriptions. It is minimally viable but not fully informative.

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 schema description coverage is 100%, so there are no parameter semantics for the description to clarify. The description's 'all subscriptions' wording reinforces that no scoping or filtering argument is needed, which fits the no-parameter baseline.

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 operation as 'Process all subscriptions' and provides the endpoint POST /media/subscriptions/process, distinguishing it from create/update/list sibling tools. The verb 'process' is somewhat generic, but the resource and bulk scope are explicit enough to avoid confusion with the other media-subscription 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?

There is no guidance about when to use this tool versus alternatives such as update_media_subscriptions_by_subscription_id or list_media_subscriptions_scheduled. The phrase 'all subscriptions' implies a bulk operation, but no conditions, prerequisites, or exclusions are stated, so the agent is left to infer the appropriate 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=false, idempotentHint=true, and destructiveHint=false, but the description adds no context about side effects, authentication requirements, or what claiming a server entails. It does not contradict the annotations, but it also does not enrich them.

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 only two short lines, front-loaded with the operation statement and endpoint. There is no filler, though it is terse enough that additional context would be welcome.

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 tool with an output schema and annotations covering the safety profile, a long manual is not necessary. However, the description lacks any context about the claiming workflow, prerequisites, or expected effect, making it only minimally 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?

The input schema has zero parameters, so the description carries no parameter burden. The endpoint plus operation name is sufficient for an agent to know this is a parameterless claim 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 the operation ('Claim') and the resource ('Server') and gives the endpoint, so an agent can identify this as the myplex claim operation. It is distinguishable from sibling create_* tools by resource, though it does not explicitly compare 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 is given on when to use this tool versus alternatives such as list_myplex_account or update_myplex_refresh_reachability. There are no exclusions, prerequisites, or context signals to help the agent decide to invoke 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 declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the OAuth PIN context and the POST method but does not disclose side effects, prerequisites, or response behavior. 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 very short and front-loaded, with no filler. 'POST /pins' adds the endpoint detail. It is concise, though it offers little contextual elaboration beyond the tool name.

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 tool with an output schema and annotations, the description is arguably sufficient to invoke the call. It lacks deeper OAuth-flow context, but the tool is simple enough that this does not create a critical 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?

There are zero parameters and schema coverage is 100%, so there is nothing for the description to explain. The baseline for parameterless tools is 4, and the description does not need to compensate for any missing parameter documentation.

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 verb-resource pair: 'Create OAuth PIN' plus the HTTP endpoint 'POST /pins'. It tells an agent that this tool initiates OAuth PIN creation, but it does not explicitly distinguish it from the sibling create_pins_xml.

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 alternatives such as create_pins_xml, get_pins_by_pin_id, or update_pins_link. The context of 'Create OAuth PIN' implies a general use, but no explicit when-to-use or when-not-to-use 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 carry the non-read-only, non-destructive, idempotent, and open-world hints, and the description adds no behavioral context beyond restating the create operation and endpoint. It does not mention auth needs, side effects, or retry 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?

The description is minimal and front-loaded: one purpose sentence plus the exact endpoint. Both lines earn their place and there is no redundant 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?

For a zero-parameter create operation with an output schema and safety annotations, the endpoint and purpose may be enough to invoke correctly. The main missing context is the relationship to the modern create_pins flow, but that is more of a usage-guidance 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?

The input schema has zero parameters, so the baseline is 4 even though the description supplies no parameter details. Schema coverage is effectively complete because there are no properties to document.

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, 'Create Legacy PIN,' and gives the concrete HTTP endpoint 'POST /pins.xml.' The word 'Legacy' also helps distinguish it from the sibling create_pins 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 term 'Legacy' and the .xml endpoint imply this is for the older PIN-creation flow, so an agent gets some usage context. However, the description does not explicitly state when to prefer this over create_pins or how it fits into the PIN/auth lifecycle.

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

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

Annotations declare readOnlyHint=false, openWorldHint=true, idempotentHint=true, destructiveHint=false. The description adds nothing beyond that—no information about what happens when a stream is created, whether it requires an active playback session, how it interacts with state, or what the response contains. With annotations present, the bar is lower, but the description still fails to disclose any behavioral nuance.

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 extremely short, which is conciseness, but it lacks structure. It starts with a vague title, then an endpoint, then an 'Args' block. The information is not front-loaded with a clear purpose, and the endpoint is a redundant detail. The brevity does not translate to effectiveness.

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 that creates an audio playback stream, the description is grossly incomplete. It doesn't explain what 'audio stream' means, what the stream_id refers to, whether it returns a stream URL, or how it fits into the playback workflow. With an output schema present, the description still leaves the agent without enough context to call this tool correctly or understand its effects.

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

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

Schema coverage is 0% (the schema has no descriptions for properties). The description says 'stream_id: The unique identifier of the stream' which barely adds meaning beyond the parameter name. It doesn't clarify the type of stream, how the ID is obtained, or whether null is acceptable (since the schema allows null). The description fails to compensate for the lack of schema documentation.

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 is essentially a title 'Player Audio Stream' and an endpoint, with no verb or clear action. It doesn't state what the tool actually does (e.g., create a playback stream for audio), nor does it distinguish it from sibling tools like create_player_playback_video_stream or create_player_playback_set_streams. The only concrete detail is the parameter definition, which is minimal.

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 this tool versus alternatives. No mention of scenarios, prerequisites, or relationships to other playback operations. The description provides zero contextual direction for an agent deciding between this and sibling tools.

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 only restates the mute action and the endpoint; it adds no behavioral context beyond the annotations. It does not contradict the annotations, but it also does not disclose the effect on current playback or the relationship to unmuting.

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 very short and contains no filler; the endpoint line is a useful concrete reference. It is concise, though the label-like phrasing prevents a perfect score.

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 simple zero-parameter action with an output schema and annotations, so the description does not need to be lengthy. However, a more explicit statement of what muting does and a pointer to the unmute counterpart would make it complete for an agent deciding whether to call it.

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 schema coverage is 100%, so there is no parameter detail for the description to add. The baseline of 4 for a parameterless tool 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 is mostly a label—'Player Mute.'—that restates the tool name, with the HTTP endpoint as additional context. It identifies the resource (player playback) and the action (mute), and can be differentiated from create_player_playback_unmute by direction, but it lacks an explicit sentence stating what the operation does.

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 this tool versus alternatives such as create_player_playback_unmute or create_player_playback_set_parameters. No conditions, prerequisites, or explicit references to sibling tools 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 convey that this is non-read-only, idempotent, and non-destructive. The description adds no further behavioral context, such as requiring an active playback session or how the operation affects the current media queue.

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 highly concise, consisting of only two short lines with no filler. The endpoint line adds a useful concrete detail, though 'Player Pause' essentially duplicates the tool name.

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 operation, the description is mostly sufficient: it names the operation, gives the exact endpoint, and annotations cover safety and idempotence. The simplicity of the action means little additional context 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?

The tool has zero parameters and the schema coverage is effectively 100%, so there is no parameter meaning for the description to add. This matches the baseline for parameterless operations.

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 action as pausing and the resource as player playback via the phrase 'Player Pause' and the endpoint POST /player/playback/pause. It is not misleading and stands apart from sibling player playback controls by the name itself, though it largely restates the tool name.

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 this tool versus alternatives. The description does not mention prerequisites, conditions, or which sibling playback controls (e.g., play, stop, seek) should be used instead.

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 indicate this is not read-only, is idempotent, and is not destructive, but the description adds no behavioral context beyond the endpoint. It does not state what happens when playback is invoked, whether it starts playback of the current queue, or what side effects occur. The description neither contradicts the annotations nor enriches them.

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 extremely short, but brevity here is under-specification rather than effective conciseness. It provides only a phrase and an endpoint URL, with no front-loaded meaning, usage context, or behavioral information that would help an agent select or invoke the 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?

Although there are no parameters and an output schema exists, the description is incomplete for a playback-control tool among dozens of sibling tools. It fails to clarify the semantic of 'play' or how this differs from related actions, leaving an agent to guess the intended operation.

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 the schema description coverage is 100%, so there are no parameter semantics to explain. The description does not need to compensate for missing schema information, giving it the baseline score for a zero-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?

"Player Play." restates the tool name and gives no real description of what the tool does. The endpoint line repeats the path already implied by the name, so an agent cannot tell whether this starts, resumes, or triggers playback behavior beyond the label itself.

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 the many sibling playback controls such as create_player_playback_pause, create_player_playback_stop, create_player_playback_seek, or create_player_playback_play_media. No context is provided for when a play action is appropriate.

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

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

The annotations already convey that the operation is not read-only, is idempotent, and is not destructive, but the description adds no behavioral context about side effects, required device state, or what occurs when playback is triggered. It neither reinforces nor contradicts the annotations, yet it fails to disclose any operation-specific behavior beyond the endpoint name.

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 compact and scannable, with an endpoint line followed by a concise argument list. The opening title 'Player Play Media' is somewhat redundant with the tool name, but there is no wasted prose and the structure is 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?

While the output schema and annotations cover some context, the description omits when to prefer this tool over the many playback-related siblings, any prerequisites, and the expected outcome of invoking the action. An agent could not reliably decide among create_player_playback_play_media, create_player_playback_play, and related tools based solely on this text.

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's Args section is the only source of parameter meaning. It compensates well by explaining key as the media item key, offset as the byte offset for stream seeking, and machine_identifier as the target device identifier, which is meaningful beyond the bare schema property names.

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 as 'Player Play Media' and provides the endpoint POST /player/playback/playMedia, making it clear this tool starts media playback using a key, optional offset, and target machine identifier. However, it does not explicitly differentiate itself from sibling playback-control tools such as create_player_playback_play or create_player_playback_seek.

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 any of the many sibling playback tools, nor does it mention prerequisites or alternative tools. It only lists the endpoint and arguments, leaving the selection decision entirely 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 provide idempotentHint=true, destructiveHint=false, and readOnlyHint=false, so the safety profile is known. The description adds no behavioral context about what 'refresh' changes, whether it requires an active session, or what side effects occur.

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 short and the endpoint is front-loaded, but the only substantive line duplicates the tool name. It is concise at the cost of being nearly content-free.

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

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

Despite having no parameters and an output schema, the description is too sparse for an agent to understand the tool's effect or when to invoke it. The endpoint path and name alone do not provide enough 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?

The input schema has zero parameters, so there is nothing for the description to explain. The schema description coverage is 100%, and the baseline of 4 for zero-parameter tools 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 'Player Refresh Play Queue.' simply restates the tool name in prose, adding no functional meaning beyond the endpoint URL. It does not explain what refreshing the play queue actually does or how it differs from the many sibling player-control 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?

There is no guidance about when to use this tool versus alternatives such as create_player_playback_play, create_player_playback_seek, or update_play_queues_by_play_queue_id. The description gives no context, prerequisites, 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 indicate this is a mutating, idempotent operation, but the description adds no behavioral context such as whether the seek is absolute or relative, whether it affects an active playback session, or what happens when offset is null. The endpoint and 'Seek' label essentially restate the tool name.

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 compact and front-loads the action, endpoint, and argument. 'Player Seek.' is slightly redundant with the tool name, but there is no padding or irrelevant 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 one-parameter tool this is nearly sufficient, but the lack of offset semantics and the presence of many similar playback siblings leave important context missing. The output schema covers return values, so no credit is lost there, but an agent could easily confuse this with skip_to or set_view_offset.

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 adds the useful unit ('milliseconds') for offset. It does not explain whether the offset is from the start of the item, whether null means 'no seek', or any range constraints.

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 the action ('Seek') and resource ('player playback') and gives the endpoint. It is clear enough, but it does not explicitly distinguish this from sibling tools like create_player_playback_set_view_offset, create_player_playback_skip_to, or create_player_playback_skip_by.

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 call seek versus the many sibling playback-control tools. The description only repeats the endpoint and argument, leaving the agent to infer the appropriate 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 indicate this is a write operation (readOnlyHint=false), non-destructive, and idempotent, but the description adds no behavioral context beyond the bare statement of setting parameters. It does not describe what happens when these parameters are set (e.g., immediate effect on playback, persistence, or side effects). Since annotations already carry the safety profile, the description adds little.

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 very short and to the point, with no fluff. It includes the endpoint, which is useful, and a clear parameter list. However, it omits essential context (usage, behavioral details, parameter constraints), so while concise, it does not adequately earn its place by adding the necessary guidance.

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 3 optional parameters, an existing output schema, and many similar sibling tools, yet the description does not explain how to call it correctly. It lacks parameter value ranges, which repeat modes are supported, the meaning of integer shuffle, and how it relates to other player control tools. The description is far from complete for an agent to use it reliably.

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 lack of explanation. It gives one-line meanings for each parameter (e.g., shuffle = 'Whether to enable shuffle mode', repeat = 'The repeat mode to set', volume = 'The volume level to set'), but it does not specify valid values, ranges, units, or what the repeat modes are. The shuffle description implies a boolean but the schema allows integer, creating ambiguity. The added semantics are minimal and insufficient.

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 it sets player playback parameters (shuffle, repeat, volume), which distinguishes it from sibling tools that set other aspects like rating or state. The verb is 'set' and the resource is implied by the endpoint and parameter list. It is clear but could be more explicit about the target (e.g., the currently active player session).

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 absolutely no guidance on when to use this tool versus the many sibling tools such as create_player_playback_volume, create_player_playback_set_state, or create_player_playback_set_rating. The description does not mention alternatives or exclusionary conditions, leaving the agent to infer the scope from the parameter names 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 indicate idempotentHint=true, destructiveHint=false, and readOnlyHint=false, so the mutation nature is partially covered. The description adds no behavioral context beyond 'set rating'—it does not disclose whether this affects persisted user data, whether it requires an active playback context, or what side effects occur. It neither contradicts annotations nor enriches them.

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 compact and front-loads the endpoint, which is structurally good. However, the 'Args' block merely repeats the schema property and gives no new information, so the brevity is under-specification rather than efficient conciseness.

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 one-parameter tool, the description is almost adequate structurally, but it leaves critical gaps: the meaning and valid values of 'rating', the target of the rating, and prerequisites. The presence of an output schema reduces the need to describe return values, but the core context for correct invocation 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 0%, so the description must compensate for the undocumented 'rating' parameter. It only says 'rating: The rating value to set', which is a tautology and adds no meaning about scale, allowed range, meaning of null, or how the value is applied. The description provides essentially no semantic information beyond the parameter name.

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 ('Set Rating') and the HTTP endpoint, so an agent can tell this is a playback rating write. However, it does not clarify what the rating applies to (current item, playback session, user library) and the phrase 'Player Set Rating' is closer to a title than an explanatory purpose. It is clear but lacks sibling differentiation beyond the endpoint itself.

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 this tool versus related tools such as update_rate, create_player_playback_set_state, or create_player_playback_set_view_offset. The endpoint is given, but no context such as 'use this when the user rates the currently playing item' or 'requires an active playback session' 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?

The description adds no behavioral context beyond what the annotations already state — it neither discloses side effects, what happens to the current playback state, whether a session is required, nor what state values are acceptable. readOnlyHint=false, idempotentHint=true, and destructiveHint=false are consistent with the description, so there is no contradiction, but the description carries none of the behavioral burden itself.

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 short and scannable, with the title and endpoint front-loaded. However, its brevity comes from vacuousness rather than efficiency — the 'Args' section restates the parameter with a near-tautological gloss, so the compactness earns no credit beyond basic scannability.

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?

Although the tool is structurally simple (one optional param, output schema present), the description is missing the single most important piece of information: the semantics of 'state' and its possible values. Without it, the agent cannot invoke the tool correctly, especially given the overlap with play/pause/stop siblings. The annotations and output schema do not fill this 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 description must compensate for the undocumented 'state' parameter. It provides only a one-line gloss ('The desired playback state'), which tells the agent almost nothing: no valid values, format, enum options, or examples. For a parameter that is the sole input and defaults to null, this is a meaningful shortfall.

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 verb+resource ('Player Set State' with the POST /player/playback/setState endpoint), so a basic purpose is identifiable. However, among a large family of playback siblings (play, pause, stop, seek, step_forward, mute, etc.), 'set state' is the most ambiguous one — the description never clarifies what 'state' actually means or how it differs from those siblings. An agent cannot tell when to pick this over pause/play/stop.

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?

Zero usage guidance is provided. There is no mention of when to use this tool vs alternatives, no prerequisites (e.g., active playback session, player resource), and no exclusions. Given roughly 20 similarly-named create_player_playback_* siblings, the absence of routing guidance is a serious gap.

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 define the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true), so the bar for the description is lower. The description adds only the HTTP endpoint and a parameter list; it never states what invoking this actually does to playback, such as switching the active tracks of the current session. There is no contradiction between the description and 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 short and the endpoint is front-loaded, which is helpful. However, the Args section largely duplicates the input schema's titles and property names, following a docstring template rather than an agent-facing explanation. Some lines earn their place, but several simply restate structured data.

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 player-control mutation, the core context is missing: what the call does to the current playback session and how it relates to the sibling single-stream setters. The output schema and annotations cover return values and safety semantics, but the description alone does not give an agent enough to invoke the tool with confidence.

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 carries the full burden, but the Args block only paraphrases each parameter as 'the unique identifier of the X stream', adding little beyond the parameter names and schema titles. It does not clarify that all three are optional and nullable, where the stream IDs are obtained from, or whether a partial update with only one stream specified is supported.

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 operation and resource: setting audio, subtitle, and video streams via POST /player/playback/setStreams, and the Args block lists exactly which stream types are involved. This distinguishes it from unrelated playback actions like set_state or set_rating. However, 'Player Set Streams' is a fragment rather than a complete sentence stating the effect, and it does not differentiate from the sibling single-stream setters (create_player_playback_audio_stream, create_player_playback_video_stream, create_player_playback_subtitle_stream).

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. The description never explains when to call this combined setter versus the sibling single-stream tools, nor does it state prerequisites such as an active playback session. An agent is left to infer the appropriate circumstances entirely from the tool name.

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 indicate non-read-only, idempotent, and non-destructive behavior. The description adds only the endpoint, not behavioral context such as whether an active playback session is required, whether this replaces the current subtitle track, whether the change persists, or what happens when stream_id is null. It does not contradict annotations, but it adds little beyond them.

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 short, but the brevity comes from under-specification rather than efficient writing. The endpoint line is useful, but the Args section duplicates what the schema already shows and the core meaning of the tool is left vague. It is terse without 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?

Despite having only one parameter, an output schema, and annotations, the description fails to explain the tool's actual role in playback control, when it should be invoked, or how stream_id is used. An agent cannot confidently select this tool over the many playback-related siblings.

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 carries full responsibility for explaining stream_id. It merely calls it 'the unique identifier of the stream,' which essentially restates the parameter name and does not clarify what kind of stream ID is expected, how to obtain it, or whether null means 'clear the text stream.' This minimally compensates for the schema 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 states a concrete verb and resource ('Set Text Stream') and includes the endpoint, so an agent can roughly infer this tool changes the active text/subtitle stream. However, it does not explain what 'text stream' means in the playback domain, and among siblings like create_player_playback_subtitle_stream and create_player_playback_set_streams, it does not differentiate itself.

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 closely related playback controls such as create_player_playback_subtitle_stream, create_player_playback_video_stream, or create_player_playback_set_streams. The description provides no prerequisites, no alternative recommendations, and no 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 provide idempotentHint=true, readOnlyHint=false, and destructiveHint=false, and the description does not contradict them. It adds only the small detail that offset is a byte offset for stream seeking, but gives no behavioral context beyond that—no mention of what happens when offset is null, whether an active session is required, or side effects of setting the offset. With the annotations carrying the safety profile, the description adds minimal 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 short, front-loaded with the name and endpoint, and lists the sole argument concisely. There is no filler or redundant prose, though a bit more behavioral context could be added without hurting brevity.

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 tool with an output schema, the essentials are present. However, it omits useful context such as the need for an active playback session, what 'view offset' means relative to seeking, and how this relates to create_player_playback_seek. It is minimally adequate but not 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. It does add meaning by clarifying that offset is a byte offset used for stream seeking, which supplements the bare integer/null schema type. This is useful, though it does not explain units/format fully beyond 'byte offset' or the effect of the default null.

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 the verb (set) and resource (view offset) and adds that it is a byte offset for stream seeking. However, the description largely restates the tool name ('Player Set View Offset' vs. create_player_playback_set_view_offset) and does nothing to distinguish this from the very similar sibling create_player_playback_seek, which appears to serve the same seeking purpose.

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 this tool versus alternatives. This is especially problematic because sibling create_player_playback_seek appears to overlap with this tool's function, and the description gives no condition, prerequisite (e.g., an active playback session/play queue), or reason that would route an agent to this tool instead.

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 indicate readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds the offset direction semantics and the POST endpoint, which is useful but minimal; it does not disclose edge-case behavior like what happens when offset is null or when skipping beyond available items.

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 brief and mostly front-loaded with the endpoint and then the parameter explanation. The opening line 'Player Skip By.' is somewhat redundant with the tool name but does not significantly hurt 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?

For a single-parameter tool with an output schema, the basic operation and parameter semantics are sufficient. However, the presence of many closely related playback control siblings means the description lacks the contextual guidance needed to reliably choose this tool over alternatives.

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 fully compensate for the undocumented offset parameter. It does so by explaining that offset is the number of items to skip and that positive values go forward while negative values go backward, which is clear and actionable.

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 indicates a playback skip-by operation with an HTTP endpoint and offset semantics. However, it does not explicitly contrast itself with related sibling tools like create_player_playback_skip_to or create_player_playback_step_forward, so differentiation is left to inference.

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

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

The description gives no guidance on when to use this tool instead of the many related playback control siblings. It only describes the offset parameter, leaving the agent to guess when skip-by is preferable to skip-to, seek, step-forward, or step-back.

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