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

No annotations are provided, so the description must disclose behavioral traits. It only mentions the operations (get, list, update) but lacks details on permissions, side effects, rate limits, or safety considerations for the update operation.

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 two sentences, the first clearly stating the tool's scope. It is well front-loaded but could be slightly more 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 lack of output schema and the presence of nested objects, the description adequately outlines the main operations but does not explain return values, error cases, or prerequisites for each 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?

Schema coverage is 100% with descriptions for all parameters. The description adds value by explaining the action parameter's role and that config applies to the update action, which goes beyond the schema definitions.

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

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

The description clearly states it performs all account-related operations (get, list, update) and uses the action parameter. This differentiates it from sibling tools like gtm_container or gtm_tag.

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 basic instruction to use the action parameter but does not give explicit guidance on when to use this tool vs alternatives 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?

Without annotations, the description carries full burden but only mentions pagination behavior for the 'list' action. It omits side effects, permissions, reversibility, or constraints for create/remove/revert actions, leaving a significant gap in transparency.

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

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

Two sentences are efficient and front-loaded with key actions. No unnecessary words. The structure is clear and earns its place.

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

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

Given 9 parameters, 4 required, and no output schema, the description is too minimal. It does not explain return values, required parameter relationships (e.g., type needed for remove/revert), or pagination details beyond a brief mention. Completeness is inadequate.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds minimal extra meaning beyond the schema (only noting that list returns up to itemsPerPage items). Parameter semantics are adequately covered by the schema.

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

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

The description clearly states the tool performs all built-in variable operations (create, list, remove, revert), making the purpose specific and distinct from siblings like gtm_variable. However, it could better differentiate from sibling tools that might also manage variables.

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 among sibling tools (e.g., gtm_variable). The description lacks context for appropriate usage, leaving the agent to infer applicability.

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

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

With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It mentions pagination for list but does not describe destructive actions like 'remove' or 'revert', auth requirements, idempotency, or error behavior. This is insufficient for a tool with multiple write operations.

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, front-loading the purpose with the action list. It is efficient and avoids waste, though it could briefly structure action-specific details for clarity.

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

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

Given the complexity (9 parameters, nested objects, multiple actions) and no output schema, the description lacks information about return values, error handling, and action-specific behavior. Users need more context to understand what each action returns or requires.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds context about 'list' returning up to itemsPerPage items, but otherwise does not provide meaning beyond the schema's parameter descriptions. It meets the minimum but does not compensate for any 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 states 'performs all client operations' and lists the specific actions (create, get, list, update, remove, revert), making it distinct from sibling tools like gtm_tag or gtm_container. It uses a specific verb-resource combination and enumerates the 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 implies usage for client management via the action list, but it does not explicitly state when to use this tool versus alternatives (e.g., gtm_tag for tags). No when-not-to-use or alternative guidance is given.

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

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

Without annotations, the description carries the burden of behavioral disclosure. It only mentions that the 'list' action returns paginated results. For a tool that includes destructive actions like 'remove', no side effects or authorization needs are described. Additional behavioral context is missing.

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

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

The description is concise (one sentence plus a detail about list pagination). It is front-loaded and gets to the point quickly, but it could be slightly more informative without being wasteful.

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 parameters, multiple actions, no output schema), the description is incomplete. It explains pagination for 'list' but does not describe the other actions' behavior, outcomes, or when to use each action. The schema is rich, so the description compensates somewhat.

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

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

Schema coverage is 100%, so baseline is 3. The description adds minimal meaning beyond the schema, such as mentioning pagination for 'list'. It does not elaborate on parameter usage or constraints beyond what is already in 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 it performs all container-related operations and lists the specific actions (create, get, update, remove, etc.). This is a specific verb+resource combination that distinguishes it from sibling tools which operate on different resources like tags or accounts.

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

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

The description implies the tool is for container operations but does not explicitly state when to use this tool versus sibling tools or provide exclusion criteria. It lacks guidance on when not to use it or alternatives.

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

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

No annotations are provided, so the description must carry behavioral transparency. It only discloses pagination limits for the 'list' action. Missing details on destructive behavior, auth requirements, or error handling.

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, zero waste. Front-loaded with the core action list.

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

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

With 7 parameters, no output schema, and no annotations, the description is too sparse. It doesn't explain return values, error states, or prerequisites for different actions.

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

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

Schema coverage is 100%, so the schema already documents parameters well. The description adds nothing beyond stating the 'list' action returns up to 50 items, which is already in the schema's default 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 it performs all destination operations (get, list, link, unlink), making the tool's purpose clear. However, it does not explicitly distinguish from sibling tools like gtm_tag, leaving some ambiguity about 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?

The description lists the actions but provides no guidance on when to use this tool versus alternatives (e.g., gtm_tag for tags). No mention of prerequisites or 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?

No annotations are provided, so the description carries the full burden. It only discloses one behavioral detail: the 'list' action returns up to 50 items per page. It does not mention side effects (e.g., 'remove' is destructive), authorization requirements, or other nontrivial behaviors. This is insufficient for a tool with multiple actions.

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 wasted words. The first sentence efficiently lists the operations, and the second adds a specific behavioral detail. Ideal conciseness for a tool description.

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

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

Given the tool's complexity (6 actions, 8 parameters, a nested configuration object), the description is too brief. It does not explain the different actions' behaviors, the role of required parameters (accountId, containerId, action), or how to use the createOrUpdateConfig object. Without an output schema, the return values are not described, which is a gap.

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

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

The input schema has 100% coverage with descriptions for all parameters. The description adds only the note about 'list' returning up to 50 items per page, which relates to the itemsPerPage parameter but adds minimal new meaning. Baseline 3 is appropriate as the schema already explains the 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 that the tool performs all environment operations and lists them (create, get, list, update, remove, reauthorize). This differentiates it from sibling tools which are for other GTM resources (e.g., gtm_container, gtm_tag). However, the phrasing 'performs all environment operations' is slightly vague without the explicit list, but overall it is clear.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not explain which action to choose for specific scenarios (e.g., when to use create vs update) nor does it mention any prerequisites. The context of sibling tools implies this is for environments, but explicit usage direction is missing.

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

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions the list action returns up to 50 items per page, but fails to disclose side effects of actions like 'remove' (destructive), 'update' (mutability), or 'revert' (reversibility). Authentication and rate limits are not mentioned.

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 two sentences and no fluff. However, it could be structured to separate group actions or clarify action-specific 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?

Given 12 parameters, no output schema, and no annotations, the description is incomplete. It does not explain return values per action, prerequisites, or error conditions. For a multi-action tool, more contextual detail is needed.

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

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

Schema coverage is 100%, so baseline is 3. The description adds minimal value beyond the schema, only noting list pagination limits. It does not explain how parameters relate to each action (e.g., which action requires which 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 tool handles all folder operations: create, get, list, update, remove, revert, entities, moveEntitiesToFolder. It distinguishes from sibling tools (which focus on other GTM resources) by specifying the resource type (folder). However, it does not explain what 'entities' or 'revert' actions entail.

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. While sibling tools handle different resources (e.g., gtm_tag, gtm_trigger), the description does not provide context-specific usage or exclusions. Usage is implied but 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?

No annotations are provided, so the description carries full burden. It only states the operations and pagination for list, but lacks disclosure of destructive behavior, idempotency, authorization needs, or side effects for actions like update or remove.

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 only two sentences. The first sentence introduces the tool's purpose, and the second adds a key pagination detail. Every word is necessary and front-loaded.

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

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

Given the complexity (9 parameters, nested objects, no output schema), the description is insufficient. It does not explain action-specific required parameters, the meaning of fields in createOrUpdateConfig, or how responses vary by action. The schema covers parameter descriptions, but operational context is missing.

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

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

Schema description coverage is 100%, so baseline is 3. The description adds minimal value beyond the schema, only reiterating that the tool performs operations and that list uses pagination. It does not clarify parameter interdependencies or action-specific requirements.

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 performs all Google tag config operations: create, get, list, update, remove. It also specifies list pagination behavior, distinguishing it from siblings like gtm_tag or gtm_trigger which operate on different resources.

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 explicitly lists the supported actions, making it clear this tool is for Google tag config CRUD. However, it does not provide guidance on when to use alternatives or exclusions, such as when to use other GTM tools for related resources.

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

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

No annotations are present, so the description must carry the full burden. It only mentions that the 'list' action returns up to 20 items per page, but fails to disclose that create/update/remove/revert are state-modifying, or any permission or concurrency controls.

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, front-loads the core purpose, and includes a key behavioral detail about pagination. Every phrase earns its place with zero 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?

Given the tool's complexity (9 parameters, nested objects, and multiple actions), the description is too brief. It omits information on required parameters per action, the structure of the createOrUpdateConfig object, and any constraints on action usage.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no additional parameter context beyond what the schema already provides, but it does not need to compensate.

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

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

The description clearly states the tool performs all GTM tag operations (create, get, list, update, remove, revert), specifying the verb and resource. However, it does not explicitly differentiate from sibling tools, but the name and list of operations make the purpose evident.

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, or any context about action-specific prerequisites. It simply lists operations without indicating when each should be used or excluded.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only mentions that the 'list' action returns up to itemsPerPage items, but lacks information on destructive actions (like remove), authentication needs, rate limits, or error conditions. The description is minimal and does not cover critical 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 a single sentence that is concise and front-loaded with the main action list. It avoids unnecessary words. However, it could be slightly more structured (e.g., separating actions or adding bullet points) for better readability, but overall it is efficient.

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

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

Given the complexity (9 parameters, nested objects, no output schema), the description is too brief. It does not explain return values, authentication, error handling, or provide examples. The agent would need to infer many details from the schema alone, which is insufficient for complete understanding of the tool's behavior and integration context.

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

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

Schema description coverage is 100%, so the schema already describes all parameters comprehensively. The description adds marginal value by restating the pagination behavior for the 'list' action, which is already present in the schema. Baseline 3 is appropriate as the description does not introduce new meaning beyond the schema.

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

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

The description clearly states that the tool performs all GTM custom template operations, listing each action (create, get, list, update, remove, revert). The specific verb+resource combination distinguishes it from sibling tools which address other GTM resources like containers or tags.

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. It does not mention when not to use it, prerequisites, or scenarios where sibling tools would be more appropriate. The list of sibling tools is provided externally but no differentiation is given.

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

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

With no annotations, the description must fully disclose behavior. It only mentions pagination for the 'list' action but omits important traits like whether actions are idempotent, what 'remove' does (destructive?), and the side effects of 'revert'. This is insufficient for a tool with multiple actions.

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

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

The description is a single sentence listing actions with a brief note on list pagination. It is efficient and front-loaded, but could be more informative given the tool's complexity. Still, it avoids unnecessary verbosity.

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?

Considering 9 parameters, no annotations, and no output schema, the description is incomplete. It fails to explain what a transformation is, prerequisites, error scenarios, or return values for each action. The high parameter count and nested objects demand richer context.

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

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

Schema coverage is 100%, so baseline is 3. The description adds no parameter meaning beyond the schema; it only reiterates itemsPerPage behavior already documented. It does not enhance understanding of complex nested objects like createOrUpdateConfig.

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

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

The description states it performs 'all GTM transformation operations' and lists six actions, making the purpose clear. However, it could be more precise by specifying that it manages GTM transformation resources, distinguishing it from sibling tools which target other entities.

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 or which action to choose for a task. Given multiple similar CRUD tools for other GTM entities, the lack of contextual advice reduces usability.

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?

Without annotations, the description carries full burden. It mentions that 'list' returns up to 20 items per page, which is helpful. However, it does not disclose behavioral traits like idempotency, destructive nature of 'remove', authentication requirements, or error handling.

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: first clearly states purpose and second adds key detail about list action. No filler, front-loaded, 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?

Given the complexity (9 parameters, nested objects, 6 actions), the description lacks prerequisites, usage examples, and default behavior for actions. It covers pagination for list but leaves gaps for other actions. Adequate but 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?

The input schema has 100% coverage with detailed descriptions for each parameter. The tool description itself adds minimal semantic value beyond the schema, only noting the list action limit. Baseline of 3 is appropriate as schema does the heavy lifting.

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

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

Description clearly states it performs all GTM trigger operations (create, get, list, update, remove, revert) and specifies the resource (trigger). It distinguishes from sibling tools like gtm_tag or gtm_container by naming the specific resource type.

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 sibling tools cover other GTM resources, so usage is implied but not stated. No indication of prerequisites or which action to choose for a given scenario.

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

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

With no annotations, the description carries full burden for behavioral disclosure. It mentions pagination for the 'list' action (up to 50 items per page), but fails to describe side effects for create/update/remove, required authentication, 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?

The description is very concise at two sentences with no fluff. However, the brevity sacrifices completeness; a slightly longer description with more context would be preferable.

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 complexity of 6 parameters, nested objects, and no output schema, the description is insufficient. It does not explain what each action does, permissions needed, or expected return values, leaving the agent with significant gaps.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond the schema beyond noting that list returns 50 items per page; it doesn't clarify parameter relationships or usage of the nested createOrUpdateConfig object.

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 performs all user permission operations (create, get, list, update, remove), specifying the exact resource and actions, which distinguishes it from sibling tools like gtm_container or gtm_tag that handle different resources.

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, nor does it indicate prerequisites or exclusions. It only lists the actions without context on appropriate usage scenarios.

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

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

With no annotations, the description must disclose behavioral traits. It only mentions pagination for 'list' and states the actions. It does not describe mutation effects (e.g., whether remove is hard delete), authentication needs, rate limits, or concurrency control via fingerprint. This leaves significant behavioral gaps.

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, front-loading the core purpose and adding one key detail about pagination. No fluff or redundancy.

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

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

Given the complexity (9 parameters, nested objects, no output schema), the description is insufficient. It fails to describe return values, error conditions, required action-specific parameters, or how to use fingerprint for optimistic locking. The pagination info is minimal.

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

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

Schema description coverage is 100%, so the schema already documents all parameters. The description adds no additional semantic meaning beyond what is in the schema. Therefore, it meets the baseline score of 3.

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 explicitly states it performs all GTM variable operations (create, get, list, update, remove, revert) and specifies that list returns up to 20 items per page. This clearly distinguishes it from sibling tools like gtm_tag or gtm_trigger, which operate on different resources.

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 lists the supported actions but does not provide guidance on when to use this tool versus alternatives (e.g., gtm_built_in_variable for built-in variables). Usage context is implied by resource name, but no explicit when-to-use or when-not-to-use instructions are given.

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

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

No annotations are provided, so the description carries full burden. It mentions pagination limits (20 items per page) but fails to disclose whether operations are destructive, require authentication, or have other side effects. For a tool with multiple mutation actions, this is a significant gap.

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

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

The description is two sentences: the first lists operations, the second provides pagination advice. It is front-loaded with the purpose and contains no fluff. 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?

Despite 10 parameters and no output schema, the description does not explain required parameters (accountId, containerId), what the tool returns, or prerequisites for each action. Pagination advice is useful but insufficient for a complex tool handling multiple operations.

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

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

Schema coverage is 100%, so baseline is 3. The description adds value by explaining that pagination parameters (page, itemsPerPage) are only used when resourceType is specified, and that resourceType helps avoid response truncation. This enhances the schema 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 verb ('performs') and the resource ('container version operations'), and lists all seven specific operations. This distinguishes it from sibling tools like gtm_tag or gtm_trigger which handle different resources.

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 explicit guidance on when to use pagination: for 'get' and 'live' actions with 'resourceType'. However, it does not specify when not to use the tool or offer alternatives for other operations.

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

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

With no annotations, the description must disclose behavioral traits. It only mentions that 'list' returns up to 50 items per page, but does not disclose potential side effects, authorization needs, or whether operations are read-only. The 'latest' action behavior is completely undescribed.

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 two sentences covering the core operations and a key behavior. Every word earns its place; no extraneous 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 lack of an output schema, the description should hint at the return value format or include details about the 'latest' action. It is adequate for a simple tool but leaves significant gaps in understanding the full behavior, especially for the 'latest' action and pagination details.

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

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

Schema coverage is 100% and each parameter is well-described in the schema. The description adds minimal value beyond the schema, only referencing the pagination limit. A baseline of 3 is appropriate as the description does not introduce confusion but also does not enhance 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 performs container version header operations for 'list' and 'latest' actions. It identifies the resource and verb specifically, which helps distinguish it from other sibling tools like gtm_version, though it does not explicitly differentiate them.

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

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

The description provides no guidance on when to use this tool over alternatives, nor does it mention prerequisites, context, or when not to use it. The lack of usage hints limits the agent's ability to select the correct tool confidently.

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

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

No annotations provided. The description only discloses that the 'list' action returns up to 50 items per page. It omits other behavioral traits like idempotency, permissions, or side effects of actions like 'remove' or 'resolveConflict'.

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

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

The description is short but reads as a run-on sentence listing all actions. It could be more structured with bullet points or sections for clarity.

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

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

The tool has 10 parameters, many nested objects, and multiple actions, but the description is extremely brief. It lacks explanations for what each action does and does not hint at return values (no output schema). Incomplete for such complexity.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds minimal value beyond the schema, only reiterating the pagination limit already in the 'itemsPerPage' 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 lists specific actions (create, get, list, update, remove, createVersion, getStatus, sync, quickPreview, resolveConflict) and mentions the list action's page limit, clearly stating what the tool does and distinguishing it from sibling GTM entity 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?

No explicit guidance on when to use this tool versus other GTM tools (e.g., gtm_tag for tags, gtm_trigger for triggers). The description only lists actions without context on 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?

No annotations are provided. The description mentions pagination behavior ('list' returns up to 20 items per page), but does not disclose destructive nature of 'remove' or 'update' actions, authentication needs, or rate limits. For a tool with mutating operations, this is insufficient.

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

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

The description is two sentences with no unnecessary words. It front-loads the purpose and adds a key behavioral note. Slightly more structure or clarity on action-specific behavior could improve it, but it is efficient.

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

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

Given the tool's complexity (9 parameters, nested objects, multiple mutating actions, no output schema), the description is too minimal. It does not explain return values, error cases, or how the createOrUpdateConfig parameter works. Many important contextual details are missing.

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

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

Schema description coverage is 100% (all 9 parameters have descriptions). The description adds one behavioral detail (list action pagination) but otherwise does not add meaning beyond the schema. Baseline 3 is appropriate.

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

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

The description clearly states the tool performs various zone operations and lists the specific actions (create, get, list, update, remove, revert), distinguishing it from sibling tools like gtm_container or gtm_tag. The verb 'performs' combined with the resource 'zone operations' is 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?

The description implies the tool is for managing zones, but does not explicitly state when to use it versus alternatives (e.g., for containers use gtm_container). No when-not-to-use or alternative recommendations are provided.

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