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

Annotations already provide readOnlyHint=false and destructiveHint=false, but the description adds no side-effect, permission, idempotency, or error behavior details. Transparency is limited to the basic mutation stated in the action.

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

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

One-sentence purpose followed by a clean parameter list. No filler, redundancy, 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?

The action and all parameters are sufficiently covered. Since an output schema is present, return-value details are not required, and no critical context is missing.

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

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

All four required parameters are explained in the description, including a source hint for workspace_id and clarification that category_ids are scoped to the given channel. This adds substantial meaning beyond the bare schema.

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

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

States a specific action: 'Add a content item to one or more channel categories', clearly identifying the resource and target. The plural 'one or more' distinguishes it from the sibling add_content_to_category tool.

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

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

The description implies use for multi-category assignment via 'one or more', but it does not explicitly contrast with add_content_to_category or state when to prefer this tool 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 readOnlyHint=false and destructiveHint=false, so the description is not required to repeat those. It does specify the additive nature ('Add one or more content items'), which aligns with the annotations. However, it does not describe side effects, such as whether existing associations are preserved or replaced, so it adds limited behavioral detail beyond the annotation.

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 brief and to the point, with no unnecessary fluff. It consists of two short sentences and includes a parameter hint inline. However, the structure is minimal and does not cover other parameters, which slightly detracts from its overall usefulness.

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

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

The description is incomplete for a tool with 5 required parameters. It does not explain how to obtain channel_id, section_id, or category_id, nor the relationship between sections and categories. It also fails to mention that content_ids is an array and how multiple items are added. The guidance only covers workspace_id, leaving the tool largely undocumented 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?

The schema has no descriptions for any parameters. The description only explains workspace_id, leaving channel_id, section_id, category_id, and content_ids undefined. With only 1 of 5 parameters covered (20%), it fails to provide necessary semantic meaning for the majority of the input fields.

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: adding content items to a section inside a channel category. It uses a specific verb and resource, and the mention of 'section inside a channel category' differentiates it from the sibling add_content_to_categories. However, it does not explicitly name the alternative, which slightly reduces 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?

Only workspace_id is given guidance, with a hint to retrieve it from list_workspaces(). There is no explanation of when to use this tool versus add_content_to_categories or section-related operations. The description lacks contextual instructions for selecting this specific 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 indicate readOnlyHint=false and destructiveHint=false, which the description does not contradict. The description transparently explains the side effect: a Content item automatically becomes a Collection once it has at least one subcontent item. It does not mention permission requirements or whether existing subcontent is replaced, but the annotations carry the basic safety profile and the description adds meaningful 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 well-structured with a short summary followed by a clear bullet-style parameter list. Each line is purposeful and directly aids invocation. No fluff or redundancy is present.

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 covers the operation, parameter meanings, and key behavioral rule (automatic Collection promotion). It does not mention the output schema contents, but the output schema is present and self-explanatory. Given the tool's moderate complexity, the description is complete enough for correct usage without being overlong.

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?

Although the JSON schema provides no descriptions, the tool description manually explains every parameter: workspace_id, content_id, category_name, section_id, and subcontent_ids. It even clarifies the allowed values for category_name ('Content' vs 'Asset') and tells users where to find workspace IDs. This fully compensates for the schema's lack of descriptions.

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

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

The description clearly states the tool's action: linking existing content items as subcontent inside a collection section. It elaborates with a concrete analogy ('lessons inside a course, chapters inside a module') and clarifies the automatic Collection promotion rule, making the purpose specific and distinguishable from sibling tools like add_content_to_category or move_subcontent.

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 explains when to use the tool by defining subcontent and when an item becomes a Collection. It also provides helper pointers for obtaining workspace IDs and creating sections via sibling tools. It does not explicitly say when NOT to use this tool versus alternatives like move_subcontent, but the context and parameter guidance are sufficient for most cases.

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

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

The annotations (readOnlyHint=false, destructiveHint=false) are minimal and do not convey side effects. The description does not disclose whether it is idempotent, what happens if a user is already a member, or any impact on existing permissions. The burden falls on the description, and it is largely silent.

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 and to the point. The single sentence plus the workspace_id hint contains no fluff and every sentence contributes useful 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?

Given the simple nature of the operation, the description omits crucial context such as expected format of user_ids (array of strings? email addresses?), behavior on duplicate membership, and whether the operation is idempotent. It is not complete enough for an agent to call without additional assumptions.

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?

Only workspace_id is explained (with a pointer to list_workspaces()). group_id and user_ids are left entirely to the schema, which provides no descriptions. With 0% schema coverage, the description adds little value for these parameters.

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

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

The description clearly states the action: adding users to a permission group. It differentiates from the sibling tool 'remove_user_from_permission_group' and is unambiguous about the core operation.

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

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

The description provides a helpful hint for obtaining workspace IDs via list_workspaces(), but it does not explicitly contrast with alternatives (e.g., when to use this vs. invite_to_workspace or giving permissions) or mention any conditions or caveats for use.

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 destructiveHint: true and readOnlyHint: false, so the agent already knows this is a destructive operation. However, the description adds no details about side effects, reversibility (e.g., whether restore_category can undo it), or permissions required, missing an opportunity to enrich the behavioral context beyond the annotations.

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

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

The description is extremely concise, using a single sentence plus a parameter hint with no fluff. It leads with the action, so it is front-loaded and easy to parse, though the brevity sacrifices essential details.

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 covers only one of three parameters and omits any context about the operation's outcome, side effects, or relationship to sibling tools (e.g., restore_category, delete_category). While the workspace_id hint is useful, the overall picture is incomplete for an agent to confidently use the 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?

The input schema lists three parameters (channel_id, category_id, workspace_id), but the description only explains workspace_id, leaving channel_id and category_id completely undocumented. With schema description coverage at 0%, the lack of parameter explanations is a significant gap for correct invocation.

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 ('Archive') and the resource ('a category inside a channel'), which is specific and distinct from sibling tools like delete_category or restore_category. However, it doesn't elaborate on the meaning of archiving in this context, so it's clear but not fully descriptive.

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 a single hint for workspace_id (referencing list_workspaces()) but gives no guidance on when to use this tool versus alternatives, how to obtain channel_id or category_id, or any prerequisites or consequences. This leaves the agent to infer usage from the schema alone.

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

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

The description adds behavioral context by noting the channel is hidden and content is preserved, which goes beyond the raw annotations. Although destructiveHint is true, the description does not explicitly state whether the archive can be undone, but the presence of restore_channel in sibling tools mitigates this gap.

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

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

The description is concise, using a single sentence with a helpful parenthetical. It avoids unnecessary detail while conveying the essential purpose and a key parameter source.

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 an output schema is present, the description does not need to explain return values. It provides enough context for when to use the tool, though it could mention how to obtain channel_id or the relationship between channel and workspace.

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?

Only workspace_id is described with a source for valid values; channel_id is left to inference from its name. The schema provides no descriptions, so the description covers only half of the parameters and lacks details on constraints or possible 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 states the specific action (archive a channel) and its effect (hidden from members, content preserved), making the tool's purpose immediately clear. It also naturally distinguishes this from sibling tools like delete_channel and restore_channel.

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 explains where to get workspace_id and implies the non-destructive nature of archiving by noting content is preserved. It does not explicitly compare this tool to alternatives such as delete_channel, but the sibling names and the parenthetical make appropriate usage inferable.

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 discloses key behaviors: the content becomes hidden, the action is reversible, and it contrasts with the lack of hard delete. It also confirms the destructive nature through the annotation and explains how to revert. It does not mention potential side effects or permission requirements, but the core behavior is transparent.

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, with no unnecessary repetition. It uses two short sentences for the main explanation and a separate note for workspace_id, making it easy to read and understand. The structure is efficient and well-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?

The description gives enough context for the agent to know when to use this tool (for reversible content removal) and how to get necessary parameters. It does not mention output expectations or permissions, but within the context of sibling tools, it is sufficiently complete for making an informed choice.

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 explains workspace_id in detail, including how to get valid values from list_workspaces(). However, content_id is not described beyond the parameter name, leaving the agent to infer its meaning. This partial coverage is adequate but not comprehensive.

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

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

The description clearly states the tool's function: to archive a content item, and explains that archiving hides it from listings and is fully reversible. It also distinguishes it from restoration with a direct reference to restore_content.

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 useful guidance by explaining the reversible nature and pointing to restore_content for undoing the action. It also tells users how to obtain the workspace_id via list_workspaces(). However, it does not explicitly compare with delete_content, which could confuse users given the claim that 'no hard delete' exists despite a delete_content sibling tool.

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 destructiveHint: true and readOnlyHint: false, but the description adds valuable context: it hides the profile while preserving content. This clarifies the nature of the operation beyond the raw annotation flags, though it doesn't mention reversibility (restore_hub_profile exists as a sibling).

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

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

Two sentences with zero filler. The core action and effect are front-loaded, and the parameter hint is tucked into the second sentence. Every word earns its place.

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

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

For a simple mutation with an output schema present, the description covers the essential semantics and gives one parameter source. It doesn't mention error cases or the restore option, but given the sibling list and the concise nature, it is sufficiently complete for an agent to invoke 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 compensate. It provides a useful hint for workspace_id, pointing to list_workspaces() as a source. However, hub_profile_id is left entirely unexplained, relying on the parameter name alone. Partial compensation for a two-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?

States the action 'Archive a hub profile' with a clear resource, and clarifies the outcome with 'hidden from listings, content preserved'. This distinguishes it from destructive siblings like delete_hub_profile and reversible restore_hub_profile, though it doesn't name them explicitly.

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

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

The description implies when to use it by noting content preservation, which hints at alternatives like delete, but it never explicitly says 'use this when you want to retain content' or mentions when not to use it. The guidance is implicit rather than explicit.

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

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

The description says it checks permission, which aligns with the readOnlyHint=true and destructiveHint=false annotations. However, it does not elaborate on the return type or any potential side effects beyond what the annotations already indicate.

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, consisting of a single clear sentence. It wastes no words and is easy to parse.

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

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

The description is minimal but sufficient for a permission check. It does not mention the output format or error conditions, but these are likely standard for permission tools in this API. Still, the lack of any detail about the response makes it slightly less 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 description only provides a partial explanation for workspace_id, noting that available IDs come from list_workspaces(). It fails to explain the meaning or allowed values for target_id and target_type, leaving them as generic 'Target Id' and 'Target Type' from the schema without additional context.

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

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

The description clearly states the tool's purpose: to check whether the current user can archive a target. This is specific and distinguishable from sibling tools like 'can_read' or 'can_edit', which check other permissions.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives. It does not mention that it should be called before performing an archive operation or how it differs from the various 'archive_*' commands.

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

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds limited extra value. It implies a non-mutating check but doesn't explicitly state that no creation occurs or disclose any side effects. The example adds contextual insight but not additional behavioral details beyond what 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 concise, front-loading the purpose, and includes a helpful example. It is not verbose, but the example could be more explicit about parameter usage. Overall, it is efficient and well-structured.

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 low schema coverage and missing parameter details, the description is incomplete for correct invocation. It does not specify valid values for parent_target_type and child_target_type, nor does it define how to obtain parent_target_id. While an output schema exists, the input semantics are not fully covered, leaving an agent to guess or explore.

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 workspace_id via a pointer to list_workspaces() but does not clarify parent_target_type, child_target_type, or parent_target_id beyond the example. The example gives a concrete case but leaves allowed values and formats ambiguous, especially without enums.

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 purpose: checking if the current user can create a child resource inside a parent. It uses a specific verb ('check') and resource (permission for child creation), and the example ('Channel' inside 'HubProfile') makes it concrete and distinct from sibling permission tools like can_read or can_edit.

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

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

The description implies usage by stating it checks create-child permission, and the example clarifies the scenario. However, it does not explicitly name alternatives or conditions for when not to use it, though the sibling set includes other permission checks that are clearly different. It provides context but no explicit exclusion guidance.

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

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

The description aligns with the readOnlyHint and destructiveHint=false annotations by saying 'Check' with no implied side effects. It adds little beyond the annotations, but there is 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 short and mostly to the point, but the parameter documentation is incomplete and out of order relative to the schema. The missing target_id makes it feel less structured than it should be.

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

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

The description is too sparse to be complete. It does not clarify the relationship between target_id, target_type, and workspace_id, and it leaves the core target_id parameter undefined. Return-value details are not required because an output schema exists, but the input ambiguity is significant.

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 workspace_id and target_type with useful context, but it completely omits target_id, which is a required parameter and central to the operation. The parameter listing is also unordered relative to the schema.

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

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

The description clearly states the action ('Check whether the current user has edit access') and the resource is a generic 'target'. This distinguishes it from sibling read/archive/permission tools, though 'target' is somewhat vague and the specific target_id parameter is not described.

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

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

No explicit guidance is given on when to use this tool versus sibling permission-checking tools like can_read, can_manage_permissions, or can_archive. The only usage hint is that workspace IDs can be obtained from list_workspaces(), which helps parameter selection but 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?

The annotation already indicates a read-only, non-destructive operation, and the description does not add meaningful behavioral details beyond that. It does not disclose what the tool returns (e.g., boolean) or how it behaves when permissions are missing, so the agent cannot anticipate outcomes beyond the basic read-only hint.

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 to the point, using only two sentences without superfluous text. The inclusion of workspace_id guidance is helpful, but the brevity comes at the cost of omitting important information about other parameters, which slightly reduces 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?

Given the availability of sibling tools and the presence of an output schema (not shown), the description lacks essential context such as return format and target type variations. It does not explain what target_type values are valid or how to obtain target IDs, leaving the agent with insufficient information to use the tool reliably in a workflow.

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?

Only workspace_id is described (with a hint to retrieve from list_workspaces), while target_id and target_type are left completely unexplained. The schema provides no additional details (no enums or descriptions), so most parameters remain ambiguous, making it difficult 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 clearly states the tool checks whether the current user can grant/revoke roles, which is a specific and actionable purpose. However, it does not elaborate on what constitutes a 'target' or how this differs from other permission-checking tools like can_read or can_edit, slightly reducing clarity in a broader toolset.

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 over sibling permission tools such as can_read, give_permission, or get_permission_targets. It does not mention any prerequisites or typical scenarios, leaving the agent to infer the selection context without sufficient 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?

The annotations already indicate readOnlyHint: true and destructiveHint: false, and the description is consistent with these (no side effects mentioned). However, the description adds no extra behavioral context beyond what the annotations provide, such as whether the check counts against any quotas or triggers logging.

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 and to the point, with no unnecessary verbiage. It conveys the essential information in one sentence, making it easy for an agent to parse quickly.

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 does not mention the return value or output format. Given that an output schema exists (though not shown here), an agent might infer the result is a boolean, but this is not explicitly stated. For a simple permission check, this is a minor gap, but it would be improved by noting the expected response (e.g., 'returns true if access is granted').

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 useful context for workspace_id (pointing to list_workspaces) and target_type (listing possible values), but leaves target_id entirely unexplained. Since schema descriptions are absent (0% coverage), the partial explanation is somewhat helpful but incomplete, especially for the target_id parameter.

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

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

The description clearly states the verb ('Check'), the resource ('read access to a target'), and the scope ('current user'). It is unambiguous and directly distinguishes this tool from sibling permission checks like can_edit or can_archive.

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 for when to use this tool versus alternatives. While the purpose is clear, the description does not mention any conditions, exclusions, or comparisons with similar permission-check functions, leaving the agent to infer appropriate 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 declare readOnlyHint=true, destructiveHint=false, and the description's phrasing ("Check whether... exists") implies a read-only operation without contradicting annotations. It adds no additional behavioral details like return format or error conditions, which is acceptable given the 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 description is two concise sentences with no redundant wording. It front-loads the primary purpose and adds the workspace_id clarification without 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 simple existence-check tool, the description is complete: it states what the tool does and which parameter is needed. The return format is not mentioned, but since an output schema exists, that omission is mitigated.

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 coverage is 0%, but the description explains workspace_id as the target workspace ID with a pointer to list_workspaces(), and the 'email' parameter is explicitly referenced as the given email address. Both parameters receive sufficient semantic context, though email could be slightly 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 clearly states the tool's purpose: checking whether a user account exists for a given email address. It uses a specific verb ('check') and resource ('user account'), distinguishing it from sibling tools like check_user_exists_by_phone or get_user.

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 includes a usage hint by explaining that workspace_id is the target workspace ID and directing users to list_workspaces() for obtaining valid IDs. It does not explicitly compare with alternative tools, but the name and description make the primary use case obvious.

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

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds no additional behavioral details such as side effects, permissions, or return format. The note about workspace_id is parameter guidance, not behavioral transparency. It does not contradict annotations, but does not enrich them beyond the obvious read-only nature.

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 efficient, leading with the primary purpose and following with a parameter hint. It avoids unnecessary words and front-loads the essential information, making it easy for an agent to parse quickly.

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 (not shown but indicated), the description does not need to explain return values. Annotations cover the read-only and non-destructive nature. The description adequately covers how to obtain workspace_id and clarifies the tool's purpose. It lacks explicit alternative guidance, but for a simple existence check it is sufficiently 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 must compensate. It explains workspace_id by telling the agent to get available IDs from list_workspaces(), and provides an example format for phone_number (e.g. "+1234567890"). This gives meaningful context for both parameters, though it doesn't detail validation rules or accepted formats beyond the example.

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

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

The description clearly states the tool's function: 'Check whether a user account with the given phone number exists' with a concrete example. It identifies the exact resource (user account) and the specific attribute (phone number), making it distinguishable from the sibling tool check_user_exists_by_email.

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

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

The description does not explicitly state when to use this tool versus alternatives like check_user_exists_by_email. It does provide a helpful hint for the workspace_id parameter (get IDs from list_workspaces()), but no guidance on selection criteria between related tools. The purpose is clear, but usage context 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?

The description states a write operation ('create') and mentions the return of a category ID, but does not disclose side effects, failure modes, or idempotency. Annotations indicate non-destructive but create operations inherently modify state; this is not contradicted but also not elaborated.

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 terse and mostly well-organized as a parameter list, but it is presented in a single paragraph without line breaks. It avoids irrelevant details but could be more structured for readability.

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

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

Given the tool's complexity (10 params, multiple required), the description provides partial context: it mentions workspace_id retrieval but not how to find channel_id or the full output schema. It covers the essential purpose but leaves some operational gaps.

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

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

The description explains six of ten parameters (workspace_id, view_type, progression_enabled, cover_show, expandable, sections) with examples for view_type and sections. It omits channel_id, name, is_pinned, and notifications_enabled, leaving some ambiguity for required fields like channel_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 clearly states the tool creates a new category inside a channel and returns the new category ID. This is an unambiguous purpose, and the name 'create_category' aligns perfectly.

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 parameter hints (e.g., where to get workspace_id) but does not explicitly differentiate this tool from alternatives like update_category or archive_category. It is clear what the tool does, but not when to prefer it over others.

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 mutation (readOnlyHint false) and not destructive. The description adds that it returns the new channel ID, which is useful. However, it does not mention any side effects, permissions, or error behavior. The description does not contradict 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 two sentences with additional parameter hints, all front-loaded. It has no unnecessary words and efficiently conveys the core purpose and key parameter 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 4 parameters, an output schema, and a clear purpose. The description covers the main function and return value, and gives guidance for two parameters. However, it omits guidance for hub_profile_id, which is required. It also doesn't mention how to obtain hub_profile_id, though sibling tools like list_hub_profiles exist. This makes it slightly incomplete for a new agent.

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

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

Schema description coverage is 0%, so the description must explain parameters. It explains workspace_id (with a pointer to list_workspaces) and privacy (with allowed values), but it does not explain name (self-explanatory) or hub_profile_id, which is a required parameter with no guidance. This is a significant 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 'Create a new channel in a hub profile' with a specific verb and resource, clearly distinguishing it from sibling tools like update_channel or delete_channel. It also notes the return value, which adds 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 does not explicitly state when to use this tool versus alternatives, but the context of creating a new channel is clear from the name and purpose. It does not mention exclusions or alternative tools, but the pointer to list_workspaces() provides some usage guidance. Overall, it's implied usage, not explicit.

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

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

The description goes far beyond annotations, disclosing failure modes such as silent 400s for snake_case, 400 for extension-less cover URLs, whole-call rejection on a bad widget, the playable-asset requirement, and the channel/category caveat. This richly documents actual 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 long but well organized with line-per-parameter explanations and bulleted widget shapes. Every section carries necessary constraint information, and the opening sentence immediately states the tool's purpose.

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

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

For a complex creation tool, the description covers required input semantics, per-field formats, widget schemas, error behavior, and post-create follow-up guidance. It is complete enough for an agent to construct a valid request without additional external knowledge.

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 coverage, the description compensates substantially by explaining workspace_id, privacy, channels, main_asset_id, url, cover_image, categories, and especially the context widget structures. It adds critical constraints like the required '$type' discriminator, camelCase keys, and max link counts.

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 new content item in a hub profile,' which states a specific verb and resource. This clearly distinguishes the tool from siblings such as update_content, archive_content, and get_content.

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

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

It gives clear context about creating content and explicitly advises using add_content_to_categories after create for reliable channel placement. It does not explicitly contrast create with update_content or archive_content, but the intent 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?

The description only states the intended action without disclosing side effects, required permissions, error behavior, or idempotency. The annotations indicate readOnlyHint=false and destructiveHint=false, but the description does not elaborate on what happens when a section is created, such as whether it modifies the parent content item or category. Minimal behavioral detail 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 succinct and well-structured: a single purpose sentence followed by parameter clarifications. It avoids unnecessary detail and is easy to parse, making it efficient for an agent to understand the tool's core function.

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 covers the basic operation but lacks context about how the parameters interrelate (e.g., the relationship between content_id, workspace_id, and category_name) and what the expected output or return value is. Given the tool's moderate complexity, this is a notable gap, though the simple action type makes it somewhat acceptable.

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 includes explanations for workspace_id and category_name (e.g., 'target workspace ID', 'the name slug of the category'), but leaves name and content_id undefined. The parameter names are somewhat self-explanatory, but full semantic clarity is missing for half of the parameters. This provides partial compensation for the schema's lack of parameter descriptions.

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

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

The description clearly states the action: 'Create a section inside a collection content item's category.' It is specific about the resource (a section) and the context (inside a content item's category), which distinguishes it from sibling tools like create_section or update_content_section.

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. It does not mention conditions like 'use this instead of create_section' or explain the difference from other section-related operations. The only hint is the phrase 'inside a collection content item's category', but this is implicit rather than explicit.

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

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

Annotations already indicate a non-read-only, non-destructive, open-world operation, so the description adds little behavioral context beyond confirming it creates an embed asset. It does not mention side effects, validation behavior, permissions, or what happens on success. 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 two short, purposeful sentences. The core purpose is front-loaded, and the workspace_id guidance earns its place by addressing a likely lookup need 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 tool with five parameters and no output schema, the description leaves too much unstated: it never explains how to obtain hub_profile_id, what url should point to, how duration_in_seconds behaves, or what the tool returns. The provided workspace_id hint helps but is not enough for reliable standalone 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, but it only explains workspace_id and how to obtain valid values. hub_profile_id, name, url, and duration_in_seconds receive no semantic explanation beyond their raw schema titles and types.

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

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

The description names a specific verb and resource: 'Create an embed asset (external URL embed) in a hub profile.' The parenthetical clarifies exactly what kind of asset this is, and the location scopes it, distinguishing it from related tools like create_media_asset or create_file_asset.

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 'external URL embed' wording implies when this tool is appropriate, and the workspace_id line tells the agent where to get a needed ID. However, it does not explicitly contrast with sibling asset-creation tools or state when to choose one of them 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 only declare readOnlyHint=false and destructiveHint=false; the description carries the critical behavioral disclosure that this call FAILS against the current backend. It explains why (missing multipart upload init) and notes the return is a signed URL for uploading. This is precisely the context an agent needs to avoid calling a broken tool.

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

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

Well structured: deprecation warning front-loaded, failure reason given, alternative named, then parameter notes. Every sentence earns its place; slightly long given the tool should never be used, but the detail is justified by the need to prevent misuse.

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 deprecated tool that fails, the essential context is the deprecation, the failure mode, and the correct alternative — all present. The description also notes the return value (signed URL), which compensates for the absent output schema.

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

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

Schema coverage is 0%, so the description must compensate. It documents two of five parameters: workspace_id (get from list_workspaces) and extension (no dot, with example 'pdf'). The remaining three — name, hub_profile_id, memory_size_in_bytes — are reasonably self-evident from the schema titles, but the description does not add format or source details for them.

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

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

States the action clearly (create a file asset record) and immediately flags the DEPRECATED status with a concrete failure reason. Distinguishes itself from upload_asset by explaining the backend now requires multipart init, so an agent can tell why it must not be selected.

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?

Explicitly instructs the agent to use `upload_asset` to create and upload in one step, naming the exact alternative and the condition that selects it. This is exactly the routing guidance a deprecated tool needs.

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 and non-destructive behavior; the description adds no side-effect or permission details but also 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 well-organized as a compact parameter list with a useful example for buttons; it is concise but somewhat redundant with the schema's titles.

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?

Critical required parameters like name and user_name are not semantically explained, and the loose widget/button object structures are only partially described, making correct invocation uncertain.

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 clarifies workspace_id, availability_level, primary_url, app_clip_on, widgets, and buttons, but leaves required fields name and user_name, plus sub_name and description, unexplained.

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

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

The description states a specific action ('Create a new hub profile in a workspace') with a clear resource, and the verb 'create' distinguishes it from sibling update/get/delete/archive 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 implies usage for creating new hub profiles, but it does not explicitly contrast with alternatives like update_hub_profile or mention when not to use this tool.

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?

Discloses that it only registers a record, does not upload bytes, and currently fails due to backend requirements, going well beyond the sparse 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 concise and well-structured with deprecation, alternative, and parameter notes, with no redundant 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?

Effectively communicates deprecation, failure mode, and the preferred replacement. Minor gaps remain around unspecified parameter meanings, but these are less critical for a deprecated failing stub.

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?

Only workspace_id and extension are explained; hub_profile_id, name, width, height, and memory_size_in_bytes receive no semantic description, leaving most parameters under-documented.

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

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

Clearly states it creates an image asset record in a hub profile, and explicitly distinguishes itself from upload_asset by marking itself deprecated and directing users to the preferred alternative.

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

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

Explicitly says the call fails on the current backend and tells users to use upload_asset instead, giving unambiguous when-not-to-use guidance.

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

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

Discloses that the tool is deprecated and will fail, and explains the reason (multipart upload init requirement). It also notes it registers a record only and does not upload bytes, and that it returns a signed URL (though the failure statement makes this slightly confusing). This goes beyond annotations (readOnlyHint false, destructiveHint false) by explaining the failure mode and the historical 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 front-loaded with the primary purpose, followed by the critical deprecation warning and alternative. It includes a targeted hint for `workspace_id` and mentions the return value. While it contains several sentences, each earns its place, and the structure is logical.

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 deprecated tool, the description is quite complete: it tells the agent the call will fail, why, and what to use instead. It also provides a hint for one parameter and mentions the return. Given the tool is deprecated, the description fully serves its purpose of steering agents away, even though it does not detail all parameters. The presence of an output schema is false, but the description covers the essential behavioral context.

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

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

The schema has 0% description coverage, so the description must compensate. It explains `workspace_id` with a hint to `list_workspaces()`, but does not describe `hub_profile_id`, `name`, `duration_in_seconds`, or `memory_size_in_bytes`. Since it is a deprecated tool, the lack of full parameter explanations is somewhat mitigated, but the description still only partially compensates for the missing schema 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?

States a clear verb and resource: 'Create a media (video) asset record in a hub profile.' It also explicitly differentiates from the alternative `upload_asset` by noting the deprecated behavior and pointing to the one-step tool. The purpose is unambiguous and distinct from sibling asset creation 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?

Explicitly provides when-not-to-use guidance: 'DEPRECATED: registers a record only and does not upload bytes; the current backend requires a multipart upload init, so this call fails.' It names the alternative `upload_asset` and directs agents to use it instead. This is exactly the kind of routing an agent needs.

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 (readOnlyHint=false, destructiveHint=false) already establish this as a non-destructive write, and the description adds the behavioral detail 'Returns the new group ID.' No contradictions exist, but error behavior (invalid target_type, duplicate name) and idempotency are not disclosed — acceptable for a create, yet not fully transparent.

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

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

Two tight sentences plus two one-line parameter hints. The purpose is front-loaded, and every sentence carries information — no filler, no redundancy with the schema or annotations.

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

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

The output schema presence plus the return-value note ('Returns the new group ID') covers the outcome, and target types are specified. However, the undocumented name and target_id parameters leave a real gap in what a caller must supply, and no error/edge-case behavior is mentioned.

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% — none of the 4 parameters have schema-level descriptions. The description text explains workspace_id and target_type, but name and target_id are entirely unexplained; target_id's meaning (the hub profile or workspace being targeted) is ambiguous without cross-referencing. Less than half of the required parameters receive meaningful 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?

'Create a new permission group on a target' uses a specific verb and resource, and the 'on a target' qualifier distinguishes it from the sibling create_* tools. It clearly separates from get/update/delete_permission_group siblings, leaving little ambiguity about the operation.

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

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

The description gives useful context — target_type values ('HubProfile' or 'Workspace') and a pointer to list_workspaces() for workspace IDs — but never states when to use this vs. alternatives like give_permission (direct grant) or add_users_to_permission_group (populating a group after creation). The when-not-to-use guidance is implied rather than explicit.

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

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

Annotations already indicate readOnly=false and destructive=false; description adds only the return value detail and the workspace_id source, but no additional side effects, permissions, or error conditions.

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?

Very concise, two sentences, with the main action first and the parameter hint second. No redundancy.

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

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

With four required parameters and no schema descriptions, the description is too sparse. It lacks guidance on how to find channel_id/category_id, or any prerequisites or 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 input schema has no property descriptions; the description only clarifies workspace_id with a hint to list_workspaces(). It leaves name, channel_id, and category_id unexplained, including how to obtain the category_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?

Clearly states the action (create a section) and location (inside a channel category), and mentions the return value (new section ID). It differentiates from sibling tools like create_content_section by specifying the container.

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?

Implies usage when needing a section within a category, but does not explicitly contrast with alternatives like create_category or create_content_section, nor states when not to use.

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 is fully transparent about the tool's behavior: it creates a record only, does not upload bytes, and will fail against the current backend. It also notes that it returns a signed URL for uploading, which clarifies the expected output. No contradictions with the annotations (readOnlyHint false, destructiveHint false) exist.

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

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

The description is concise, using only a few sentences to convey purpose, deprecation warning, usage alternative, and parameter hints. The structure is clear and front-loaded with the most important information (deprecation and alternative) in the second sentence.

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 this is a deprecated, non-functional tool, the description is contextually complete: it explains why the tool fails, what alternative to use, and provides the essential parameter hints. No additional context is needed for an agent to correctly avoid this tool and choose the recommended one.

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

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

The description provides meaningful context for only two of five parameters: workspace_id (with a hint to get IDs from list_workspaces()) and extension (with an example like 'mp4'). The remaining parameters (name, hub_profile_id, memory_size_in_bytes) have no description, and the schema provides zero coverage, so the description only partially compensates for the lack of 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 clearly states the tool's purpose: to create a video file asset record. It explicitly labels itself as DEPRECATED and explains that it only registers a record without uploading bytes, which is a precise, unambiguous 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?

The description gives direct usage guidance: it warns that the tool is deprecated, that the current backend requires a multipart upload init so the call fails, and explicitly directs users to 'use upload_asset' instead. This is actionable and leaves no ambiguity about when not to use it.

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

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

The annotations declare readOnlyHint false and openWorldHint true, indicating a write operation with potential external effects. The description only mentions that it returns an ID and provides a metadata example for a webhook trigger, hinting at external integration but not explicitly disclosing the behavior. It does not elaborate on the openWorldHint implications, such as possibly sending webhooks or affecting external systems.

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, front-loaded with the purpose and return value, and uses a clear bullet-like format for parameter details. Every sentence adds value, with no redundant 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?

Given the tool has 5 parameters, a nested metadata object, and no schema descriptions, the description covers some key aspects but omits title and details. It also does not fully describe the metadata structure beyond an example. However, the output schema exists, so return format is covered. Overall, it is partially 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 no descriptions (coverage 0%), so the description must compensate. It explains workspace_id, metadata (with example), and hub_profile_ids (default all). However, it does not explain title or details, which are required or have defaults. Thus it adds meaning for 3 out of 5 parameters.

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

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

The description clearly states the action: 'Create a workspace automation action' and notes the return of the new action ID. This distinguishes it from sibling tools like update_workspace_action and delete_workspace_action by its creation purpose. However, it does not explicitly name alternatives, but the resource specificity is sufficient.

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 guidance on obtaining workspace_id from list_workspaces() and explains hub_profile_ids default. It does not explicitly mention when to use this tool over alternatives like update_workspace_action, but the creation intent is implied. It also gives a metadata example, offering 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 destructiveHint=true and readOnlyHint=false; the description adds the important detail that the action is irreversible, going beyond the annotation metadata without contradicting it.

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, direct, and well-structured, front-loading the core action and consequence before the parameter note.

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

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

The description is adequate for a destructive operation: it states permanence and identifies workspace_id sourcing. It does not explain cascading effects or return values, but an output schema exists and the operation is straightforward.

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 provides only titles with no descriptions. The description explains workspace_id but omits guidance for channel_id and category_id, so parameter coverage is insufficient given the low 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?

Description clearly states the action (permanently delete) and resource (category from a channel), and distinguishes it from related tools like archive_category, update_category, and restore_category.

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 emphasizes that deletion is permanent and irreversible, which implies destructive usage and contrasts with softer alternatives like archiving. It does not explicitly name alternative tools, but the context is clear.

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

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

Annotations already declare destructiveHint=true and readOnlyHint=false. The description adds valuable context: it deletes categories/sections, is irreversible, and hints that workspace IDs come from list_workspaces. This goes beyond annotations without contradicting 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 concise and front-loaded with the core purpose and irreversibility. The parameter hint is separate and clear. No wasted words.

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 covers the scope of deletion (categories/sections) and irreversibility, which is good for a destructive tool. However, it lacks an explanation for channel_id and does not mention any prerequisites or permissions, though the output schema may cover return values.

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

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

Schema description coverage is 0%, so the description must explain parameters. It only explains workspace_id (with a source hint) but omits any explanation for channel_id, leaving one of two required parameters undocumented.

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

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

The description clearly states the tool permanently deletes a channel and all its categories/sections, which is specific and differentiates it from archive_channel (reversible) and delete_category/delete_section (which target sub-elements). The irreversibility is emphasized.

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 irreversibility implies a distinction from archive_channel, but the description does not explicitly name alternatives or state when to choose this over archiving. It only provides a hint for obtaining workspace IDs, not usage conditions.

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

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

The description explicitly states 'Irreversible', which adds a clear behavioral warning beyond the destructiveHint annotation. However, it does not disclose potential side effects (e.g., impact on associated data, cascading deletions) or other behavioral traits.

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, consisting of a single functional statement and a brief parameter note. It is well-structured and free of unnecessary detail, though it could integrate parameter explanations more evenly without becoming verbose.

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

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

Given four required parameters and an output schema, the description lacks essential context such as the meaning of 'collection content item', the role of category_name, and any preconditions or effects. It does not explain when this operation is appropriate compared to related tools, leaving the overall context incomplete.

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%, and the description only explains 'workspace_id' with a hint to list_workspaces(). It fails to describe the purpose or relationships of content_id, category_name, and section_id, leaving most parameters semantically opaque.

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 (delete) and the resource (section from a collection content item's category), making its purpose understandable. It distinguishes from the sibling 'delete_section' by specifying the context of a content item's category, though it could be more explicit about the 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?

The description provides no guidance on when to use this tool versus alternatives like 'delete_section', 'update_content_section', or other delete operations. It offers no conditions or examples, leaving the decision entirely 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?

The description goes beyond the destructiveHint annotation by explicitly warning that the deletion is permanent and removes all associated data. This is clear and accurate.

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 primary purpose, and includes a practical parameter hint without unnecessary 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?

The description is missing essential context for one required parameter (hub_profile_id), and does not mention any confirmation or result behavior. This leaves the agent underinformed for a destructive action.

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?

Only workspace_id is explained, and its source is given. hub_profile_id is required but not described at all, leaving a significant gap for the agent to infer its meaning and origin.

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 ('permanently delete a hub profile and all its data') and emphasizes irreversibility, which distinguishes it from reversible alternatives like archive_hub_profile or restore_hub_profile.

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

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

It provides limited guidance by telling the agent to get workspace IDs from list_workspaces(), but it does not explicitly explain when to choose deletion over archiving or what conditions should lead to permanent deletion.

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 explicitly states 'permanently delete', which conveys irreversibility and aligns with the destructiveHint annotation. It also specifies the target is a 'pending invitation', giving clear behavioral expectations. It does not mention potential errors or required permissions, but the core behavior is well described.

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, consisting of two short sentences with no redundant wording. The workspace_id hint is integrated efficiently.

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

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

The description covers the core action and one parameter hint but omits information about return values, error conditions, or relationship to sibling invitation-deletion tools. Given the output schema exists, some context is still missing for a fully self-contained description.

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?

Only workspace_id receives any explanation; the purpose of hub_profile_id and invitation_id is not described. Since all three parameters are required, the lack of descriptions for two of them leaves significant semantic gaps.

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 canceling and permanently deleting a pending invitation, which is specific and unambiguous. However, it does not distinguish this from the sibling 'delete_workspace_invitation' tool, leaving a slight ambiguity about invitation scope.

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

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

No guidance is provided on when to use this tool versus alternatives, nor does it mention prerequisites or side effects. The only hint is pointing to list_workspaces() for workspace_id, which is useful but insufficient.

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's 'Revoke' aligns with the destructiveHint annotation, and the parameter hints (e.g., target_type values) provide useful context. It doesn't mention reversibility or side effects, but given the annotations already convey destructiveness, the description is sufficiently transparent. 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 concise: a single clear action sentence followed by a compact parameter hint block. Every word adds value, and there is no redundant or verbose phrasing.

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 covers the essential action and provides enough parameter context for an agent to invoke the tool correctly. An output schema is noted in context signals, so return values are presumably specified elsewhere. The lack of examples or edge-case notes is acceptable given the tool's simplicity.

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%, and the description compensates for two of four parameters (workspace_id and target_type) by giving explicit guidance. However, user_id and target_id are left undefined, though their names and the action phrase 'a user has on a target' make them inferable. This partial coverage meets the baseline but not fully.

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 ('Revoke') and resource ('all permissions a user has on a target'), making the tool's purpose immediately clear. It also naturally distinguishes itself from sibling tools like `give_permission` and the `can_*` check 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?

The description does not explicitly compare with alternatives or state when to choose this tool over others (e.g., `give_permission` to reverse an assignment). It does provide some parameter guidance (workspace_id and target_type), but no direct 'use this when' instruction. The context signals show no usage directives in annotations, so this is a moderate 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 declare destructiveHint: true, but the description adds the permanent nature and the effect on members' inherited permissions. This goes beyond the structured annotation, providing important context that the deletion is irreversible and cascades to members.

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

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

Two sentences with no waste. The purpose and effect are front-loaded, followed by a practical hint for one parameter. 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?

The tool has two required parameters and an output schema, so return format is covered. However, the description omits explanation for group_id and does not mention error conditions or prerequisites beyond workspace_id. It is minimally adequate but incomplete for a destructive 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?

Schema coverage is 0%, so the description must compensate. It explains workspace_id with a source hint (list_workspaces()), but group_id is left entirely undocumented. With two required parameters, only one is explained, leaving a significant gap.

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

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

The description clearly states the action 'Permanently delete a permission group' with a specific verb and resource, distinguishing it from siblings like update_permission_group or delete_permission. It also notes the consequence that members lose inherited permissions, clarifying the tool's impact.

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 a practical hint to get workspace IDs from list_workspaces(), but it does not explicitly state when to use this tool versus alternatives like delete_permission or update_permission_group. The purpose implies usage, but there is no explicit exclusion or alternative routing.

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 destructiveHint true and readOnlyHint false. The description adds the stronger 'Irreversible' warning, which is valuable behavioral context. It also hints at workspace_id sourcing. 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 two sentences long, with the purpose and irreversibility front-loaded. The second sentence provides a useful parameter hint. No fluff or redundant 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?

For a 4-parameter tool with no schema descriptions, the description explains only one parameter. It does not clarify the relationship between channel_id, category_id, and section_id, nor what the operation returns. This is insufficient for an agent to invoke the tool correctly without additional inference.

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 description coverage for all four parameters. The description only explains workspace_id, leaving channel_id, category_id, and section_id completely undocumented. The hierarchical relationship among IDs is implied but never stated.

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: 'Permanently delete a section from a channel category.' It names the specific verb and resource, and the reference to 'channel category' distinguishes it from sibling delete tools for channels or categories.

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

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

No guidance is provided on when to use this tool versus alternatives. The only hint is about obtaining workspace_id from list_workspaces(), which is a parameter sourcing tip rather than usage context 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 destructiveHint=true and readOnlyHint=false, which the description supports by stating the link is removed but the subcontent item is not deleted. The description adds clarity about the non-destructive nature to the subcontent itself, which is valuable beyond the annotations. No contradiction present.

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. The main statement is one sentence, followed by a clarifying sentence about what is not deleted. The parameter list is clear and aligned with the schema. No fluff or redundant 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?

The description is self-contained and sufficient for an agent to invoke the tool correctly given the parameter documentation. It explains the operation's effect and non-effects clearly. There is no explicit mention of the return value or potential errors, but that is not critical for this straightforward operation and the annotations cover the destructive nature.

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?

All five parameters are documented in the description. workspace_id includes guidance to get available IDs from list_workspaces(). content_id, category_name, section_id, and subcontent_id are each explained with their role (parent collection, type, containing section, and item to unlink). The schema coverage is 100% and the descriptions add meaning beyond the bare schema.

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

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

The description clearly states the verb 'Unlink' and the specific resource 'a subcontent item from a collection section'. It explicitly clarifies that the subcontent item is not deleted, distinguishing it from destructive operations. This unambiguously differentiates it from sibling tools like delete_content_section or remove_content_from_categories.

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 explains what the operation does and explicitly states what it does NOT do (does not delete the subcontent item). It provides context for when this operation is appropriate, though it does not explicitly contrast it with related tools like add_subcontent or move_subcontent. The negative clarification is strong enough to guide correct usage in most cases.

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

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

The description explicitly states 'Permanently delete', which aligns with and reinforces the destructiveHint annotation. No contradictions exist, and the permanence is a useful behavioral detail beyond the generic annotation.

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 to the point, with no unnecessary words. The workspace_id hint is front-loaded and useful, though the omission of action_id is a content issue rather than a conciseness issue.

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

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

The description is not complete for a two-parameter delete operation: it explains only one parameter and lacks any note about return value, side effects, or error conditions. The missing action_id explanation is 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?

Only workspace_id is described (as target workspace with a source). The required action_id parameter is completely undocumented, leaving a significant gap in parameter understanding.

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

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

The description clearly states the tool's purpose: permanently delete a workspace automation action. This distinguishes it from other delete tools for different resource types (e.g., delete_hub_profile, delete_channel).

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

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

Provides guidance for obtaining workspace_id via list_workspaces(), but omits any guidance for the required action_id parameter. It also does not specify when to use this tool versus alternatives, though the resource type is clear.

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 destructiveHint=true and readOnlyHint=false, so the description correctly aligns with them. It adds valuable context beyond annotations by specifying 'permanently delete' and 'pending' — clarifying that only pending invitations are affected, which is a meaningful behavioral constraint an agent must know before calling.

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 two concise sentences, with the primary purpose front-loaded in the first sentence and a targeted parameter hint in the second. There is no filler, and every word contributes to operational clarity, making it highly efficient for an agent to parse quickly.

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

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

For a destructive operation with annotations covering the safety profile and a likely simple output, the description is mostly sufficient. However, the missing explanation for invitation_id is a notable gap that could hinder correct invocation, and there is no mention of error behavior or idempotency. Given the tool's simplicity, the definition is adequate 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 for both parameters. It explains workspace_id with a helpful reference to list_workspaces(), but invitation_id is left completely unexplained — no guidance on how to obtain it, its format, or its role. With only one of two parameters covered, the description fails to fully compensate for the schema's lack of detail.

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 ('Cancel and permanently delete') and the resource ('a pending workspace invitation'), which distinguishes it from sibling tools like delete_invitation that target general invitations. The verb+resource combination is specific and unambiguous, making the tool's purpose immediately obvious to an agent.

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

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

The description does not explicitly mention when to use this tool versus alternatives such as delete_invitation or update_workspace_invitation. It does provide a hint on how to obtain workspace_id via list_workspaces(), which is useful for invocation, but lacks any explicit when-to-use or when-not-to-use guidance, leaving the selection partially 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?

The description clearly indicates a read-only fetch operation, and annotations already declare readOnlyHint=true and destructiveHint=false, so no additional side-effect disclosure is needed. It adds no extra behavioral detail beyond the fetch semantics.

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 focused: two sentences plus brief inline parameter notes. No filler or redundant 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?

An output schema exists, so return values do not need to be described. The description gives enough context for a straightforward batch fetch with filtering, though it does not mention limits, pagination, or ordering (which are not essential for basic use).

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

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

The schema has 0% formal description coverage, but the description manually explains workspace_id, availability_level, and implicitly covers ids via 'a list of IDs', adding meaningful meaning beyond the bare schema.

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

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

States a specific verb and resource: batch-fetching lightweight hub profile data for a list of IDs. This clearly distinguishes it from single-get or list-all hub profile 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?

Provides clear context for the workspace_id and availability_level parameters, and the phrase 'Batch-fetch ... for a list of IDs' implies when to use it versus list/get alternatives, though it does not explicitly name sibling tools 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 states it retrieves 'full asset details' without side effects, which aligns with the readOnlyHint annotation. It does not contradict the annotation and adds reasonable context about the return type, though it does not enumerate specific errors or limits.

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 remarkably concise—two sentences—with no redundant information. It front-loads the core action and adds a single, relevant parameter note, making it easy to parse.

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

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

Given the tool's simplicity and lack of output schema, the description sufficiently covers what an agent needs to know: what it does, the supported asset types, and how to get one of the required IDs. It does not mention pagination or error handling, but these are less relevant for a get-by-id 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?

Only workspace_id is explicitly described in the description, with a useful pointer to list_workspaces(). asset_id is only implied by the tool purpose, not explained as a parameter. Since the schema provides no descriptions, 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 clearly states the tool's purpose: 'Get full asset details by ID' and even lists the supported asset types. This distinguishes it from sibling tools like list_assets (listing) and search_assets (searching).

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 concrete guidance on obtaining a required parameter: 'workspace_id: target workspace ID — get available IDs from list_workspaces()'. It does not explicitly contrast with alternatives, but the purpose is clear enough that an agent can infer when to use it.

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

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

Annotations already indicate readOnly=true and destructive=false, and the description consistently presents this as a read operation. It adds useful context about slug-based identification and workspace_id sourcing without contradicting 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 concise: two sentences, no fluff, with the core purpose stated first and the parameter guidance immediately following. 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 straightforward read operation with no output schema, the description gives enough context to understand what the tool returns ('category details') and how to find the required workspace_id. It does not discuss error cases or return shape, but given the simple get-style operation this is acceptable.

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 itself only provides names and types, but the description explains all four parameters: hub_profile_username, channel_name, and category_name are slugs, and workspace_id is the target workspace ID with a source hint. This adds meaning beyond the schema, though individual parameter details could be richer.

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 operation ('Get category details'), the target resource ('category'), and the exact identifying fields (hub_profile_username, channel_name, category_name slugs, workspace_id). This differentiates it from category mutation tools and from other retrieval tools by specifying the slug-based lookup.

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

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

The description implies usage for retrieving category details and provides a helpful hint that workspace_id can be obtained from list_workspaces(), but it does not explicitly explain when to prefer this tool over siblings like get_category_references or when not to use it.

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

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

Annotations already declare read-only and non-destructive. The description adds that it returns items and a cursor for pagination, but does not discuss rate limits, ordering, or any side effects. Given annotations, this is adequate though minimal.

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

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

Two short sentences with no redundant fluff. The parameter hints are included but not verbose.

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

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

No output schema exists, and the description only says 'items and a cursor' without detailing what an item contains or how pagination works. Also missing parameter explanations for half the fields, so 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?

The description explains workspace_id and cursor (implicitly), but leaves channel_id, category_id, and page_size undefined. Since the schema provides no descriptions, this is insufficient for users to correctly set all parameters.

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

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

Description clearly states a specific action (list) and resource (content references in a category), and mentions cursor-based pagination. It does not explicitly contrast with sibling list tools, but the name and wording 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?

No guidance on when to use this tool versus alternatives like list_contents or search_contents. The description only states what it does, not when to choose 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 indicate readOnly and non-destructive behavior. The description adds useful transparency by noting the response includes categories and heading content, which is beyond the schema.

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

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

The description is brief, well-organized, and free of unnecessary detail. The parenthetical about included content and the workspace_id guidance are both valuable and concise.

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

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

For a simple read operation with no output schema or enums, the description provides enough context: it names the resource, the ID-based lookup, and the source for workspace_id. Minor missing detail about obtaining channel_id is not critical.

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 explicitly explains workspace_id and how to obtain it, and 'by ID' conveys the role of channel_id, though channel_id itself gets no dedicated explanation or format details.

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 ('Get full channel details by ID') and the resource ('channel'), and distinguishes this tool from get_channel_by_name and list_channels by emphasizing retrieval by 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?

The description implies use when you have a channel ID and provides guidance for obtaining workspace_id from list_workspaces(), but it does not explicitly mention when to prefer this over get_channel_by_name or list_channels.

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

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

The annotations already declare readOnlyHint: true and destructiveHint: false, so the read-only nature is covered. The description does not add further behavioral details such as side effects, access requirements, or error conditions beyond the annotations.

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

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

The description is concise, using two short sentences. It gets straight to the point with no fluff or redundant 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?

With no output schema, the description does not mention what 'details' are returned or any additional context like pagination or response format. For a simple get operation, this might be acceptable, but it lacks a fuller picture.

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?

workspace_id is explained clearly with a pointer to list_workspaces(). However, channel_name and hub_profile_username are only described by their names and required status, with no additional context or expected 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 clearly states the action ('Get channel details') and the specific identifiers used (hub profile username slug and channel name slug). It is specific and unambiguous, but does not explicitly distinguish it from sibling tools like get_channel or list_channels.

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

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

No explicit guidance on when to use this tool versus alternatives. The only hint is the workspace_id explanation showing how to obtain the ID, but no comparison with sibling tools like get_channel or list_channels is provided.

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

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

Annotations already declare readOnly and non-destructive behavior. The description adds no further behavioral details (e.g., error conditions, partial responses) and does not contradict the annotations. Credit given for consistency, but no extra insight.

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

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

The description is extremely concise, with no redundant words or irrelevant details. It gets straight to the point and includes the necessary version qualifier.

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?

No output schema or return format is mentioned, and the description does not address how this tool differs from get_content_v2. Combined with the missing content_id description, the tool is under-specified 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 description explains workspace_id and hub_profile_id, but fails to describe content_id, a required parameter. This is a significant omission that could lead to misuse. Schema coverage is 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 clearly states the tool retrieves content item details by ID, and the '(v1 schema)' qualifier distinguishes it from get_content_v2. The verb and resource are specific.

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 sibling get_content_v2, nor any mention of the relationship between the two. An agent is left to infer 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?

Annotations already declare readOnlyHint and destructiveHint, so the description correctly aligns with those. It adds useful context by listing the returned components (main asset, user progression, extended metadata), which goes beyond the annotation info and helps the agent understand what to expect without an output schema.

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

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

The description is three short lines: the primary purpose is first, then the workspace_id hint, then the return summary. No filler words, and all sentences add value. It is efficient and well-structured.

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 get-by-ID tool with two parameters and read-only annotations, the description covers the core usage, the return contents, and the prerequisite for obtaining workspace_id. It lacks an explicit contrast with the sibling get_content, but the 'v2 schema' label and the richer return summary partially fill that gap. Overall, it is sufficiently complete for an agent to invoke it correctly.

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

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

With 0% schema description coverage, the description must compensate. It explains workspace_id thoroughly by indicating it is the target workspace and how to obtain it, but content_id is left to its name and title only. This partial compensation is helpful but not fully adequate for both parameters.

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

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

The description clearly states the verb 'Get' with a specific resource 'content item by ID' and indicates the v2 schema. It also mentions what is included (main asset, user progression, extended metadata), which distinguishes it from simpler get operations and gives a complete picture of the 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?

It provides context that this is the v2 schema, implying it is the updated version compared to get_content, and tells the agent to get workspace IDs from list_workspaces(). However, it does not explicitly state when to prefer this over get_content or other content-related tools, so it stops short of a full when/not guidance.

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

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

The readOnlyHint annotation is consistent with 'Get full hub profile details', so no side-effect disclosure is needed. The description adds useful context that workspace_id is a target workspace identifier, but does not mention error behavior or missing-profile outcomes.

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, front-loaded with the main purpose, and uses a second sentence only for the less obvious parameter. No filler or redundant wording is present.

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

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

There is no output schema, but the promise of 'full hub profile details' gives the agent a reasonable expectation of the result. Combined with the two clearly identified input parameters, the description is sufficiently complete for this simple read 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 workspace_id parameter is explicitly explained with a hint to list_workspaces(). The hub_profile_id parameter is not described in detail, but the phrase 'by ID' and the parameter name make its meaning clear enough.

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

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

The description clearly states the tool fetches full hub profile details by ID, using the verb 'get' and a specific resource. This distinguishes it from sibling tools like get_hub_profile_by_username or list_hub_profiles.

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